business outsourcing services and IT products to organizations globally. The firm is led by Chief Executive Officer Thierry Delaporte, who was previously Chief Operating Officer of Capgemini and currently lives in Paris, France.

Wipro Gains Large Clients Despite Tough Demand Environment

Enterprises in the U.S. are expanding their engagements with Amazon Web Services (AWS) and its ecosystem partners for greater cloud efficiency and economies of scale, according to a new research report published today by Information Services Group ( ISG) (Nasdaq: III ), a leading global technology research and advisory firm.

AWS Partners Empower U.S. Firms in Cloud Migration Wave

The report names Accenture, Capgemini, Cognizant ... of providers from the perspective of specific buyer types. ISG (Information Services Group) (Nasdaq: III) is a leading global technology research and advisory firm. A trusted business partner to more ...

Prior to joining FEMA, Mr. Gudinas supported fire and emergency services, including 9 years with the International Association of Fire Chiefs. He has a distinguished career of public service, including more than 25 years as a volunteer firefighter and as ...

David Gudinas Becomes Director of Office of National Exercises and Technological Hazards Division, FEMA

To get more out of blockchain technology, interoperability is crucial for seamless communication and transfer of data and assets between different blockchain networks. It would enable smooth information ... but these services are freelance-based and ...

Blockchain interoperability solutions and challenges: Where are we now?

The Wacom Cintiq Pro 17 and Wacom Cintiq Pro 22, now added to the Cintiq Pro family, share the same revolutionary technology of the recently introduced Wacom Cintiq Pro 27. The color critical workflows of today and tomorrow such as VFX and CG,

Wacom expands Cintiq Pro product line

Source: FactSet Indexes: Index quotes may be real-time or delayed as per exchange requirements; refer to time stamps for information on any delays. Source: FactSet Markets Diary: Data on U.S. Overview page represent trading in all U.S. markets and updates ...

Rackspace Technology Inc.

The Jiyue 01, the first EV from a Geely-Baidu joint venture, is equipped with Baidu’s Apollo platform, which has been in development for 10 years and used on driverless vehicles since 2016.

Geely and Baidu, in challenge to Tesla, launch autonomous EV

Proximus and LuxConnect have launched a joint venture to offer Google Cloud services via a sovereign cloud. Known as Clarence, the venture aims to offer a "disconnected sovereign cloud solution to governments, regulated companies, international organizations and enterprises with sensitive data in Europe."

Proximus and LuxConnect launch Clarence JV to offer Google Cloud services

Leaders with Amazon, Atos, Foundever, Kinseed and Unisys named winners in five award categoriesLONDON--(BUSINESS WIRE)--#EMEALeadership--Information

ISG Women in Digital Award Winners Named for EMEA

CAPGEMINI

capgemini

Capgemini, a global information technology services and consulting company based in Paris, France, celebrates a series of as it unveiled double-digit growth rates across all business lines in its annual report for fiscal year 2022. big wins The company’s most prominent business lines include technology, business consulting and outsourcing services. Best known for its technology services, Capgemini assists clients by identifying, isolating and supplying solutions for various core technological issues within a business, including problems related to systems integration and application development. Propelled by an increased demand for digital transformation, the company’s Applications and Technology services division – its primary and most profitable business line – reported an +18.0% increase in total revenues for the full year. As for its business consulting services, the company strategizes with partners to implement and execute digital transformation initiatives aimed at improving a business’ long-term growth and ensuring clients stay competitive amidst a rapidly changing landscape. Additionally, the company’s outsourcing services comprise the regular management, maintenance and ongoing support of client IT infrastructures through its wide array of . managed services Just last year, the industry-wide growth in Infrastructure and Cloud services as well as a healthy Engineering services ecosystem, brought about a +13.4% boost in total revenues for its Operations & Engineering sector. As for the company’s Strategy & Transformation consulting services, total revenues also rose by +28.2% at the end of 2022. Now, in spite of growing concerns surrounding the economic climate’s recent instability, Chief Executive Officer of the Capgemini Group Aiman Ezzat expressed confidence in the company for closing out the previous year with higher revenues and exceeding growth expectations among various sectors, marking significant gains of 16.6% in constant currency growth and 13.0% in operating margin. The report emphasized the company’s focus on investing resources in the efforts to bolster its workforce through various training initiatives, reporting the company, in fact, “provided 17.4 million training hours to employees in 2022, compared with 12.8 million in 2021…a 12% increase in the average number of training hours per employee, well above the Group’s commitment to an annual 5% increase.” In a reflecting on the company’s most noteworthy accomplishments of the fiscal year, Ezzat highlighted Capgemini’s ongoing business philosophy of investing in their current talent base for long-term success: Youtube video “In 2022, we also demonstrated our ability to attract top talent to fuel our growth and agility in a fast evolving market. It’s not just about attracting talent, it’s also about investing in them, thanks to our continuous commitment to development, training and growth.” As of the end of December, Capgemini’s total global workforce experienced an 11% jump compared to last year, growing from 324,700 to 359,600 workers. More employees than ever work outside the country’s base of operations in France, with nearly 60% of the labor force – 210,300 employees – operating in offshore centers. Thanks to standards set by the ), Capgemini has made good on its promise to further its environmental sustainability efforts in 2022, dropping company-wide carbon emissions by 29% and 46% per employee to levels lower than they were in 2019. (SBTi Science-Based Targets initiative In line with the initiative’s net-zero standards for 2021, Capgemini also became one of the first in the world to have its net-zero emissions targets validated through the SBTi as of this reporting. Following its admittance to the Europe for its sustainability advancements in 2022, Capgemini revealed its intentions to meet various near-term and long-term carbon footprint targets for the next 10-20 years, including its long-term objective of reaching a in all carbon emissions by 2040. Dow Jones Sustainability Index (DJSI) 90% reduction

Capgemini Growth Rates Double as Sustainability Efforts Expand

টেকসই প্রচেষ্টা প্রসারিত হওয়ায় Capgemini বৃদ্ধির হার দ্বিগুণ

Die Wachstumsraten von Capgemini verdoppeln sich, da die Nachhaltigkeitsbemühungen ausgeweitet werden

Las tasas de crecimiento de Capgemini se duplican a medida que se expanden los esfuerzos de sostenibilidad

Les taux de croissance de Capgemini doublent à mesure que les efforts de développement durable se développent

स्थिरता के प्रयासों के विस्तार के रूप में कैपजेमिनी विकास दर दोगुनी हो गई है

サステナビリティへの取り組みが拡大する中、キャップジェミニの成長率は倍増

지속 가능성 노력이 확장됨에 따라 Capgemini 성장률이 두 배로 증가

As taxas de crescimento da Capgemini dobram à medida que os esforços de sustentabilidade se expandem

Sürdürülebilirlik Çabaları Genişledikçe Capgemini Büyüme Oranları İki Katına Çıktı

Tốc độ tăng trưởng của Capgemini tăng gấp đôi khi các nỗ lực phát triển bền vững mở rộng

随着可持续发展努力的扩大，凯捷的增长率翻了一番

By now you're probably aware that a certain segment of the population last week experienced what some of us in the know refer to as the Blue Screen of Death™ — causing widespread panic and chaos, albeit briefly. Millions of Windows-based devices that power banks, airports, hospitals, and even broadcast stations went offline and started displaying that dreaded pop-up that usually signifies the unceremonious death of your PC. Imagine not being able to travel, pay, get treatment, or even tune in to your TV to learn what's going on because.. computer problems. 🙄 So, what happened? The way it began was that cybersecurity firm Crowdstrike deployed what should have been a regular, run-of-the mill update for its Falcon software to protect customers' computers against new cyber threats. That update ended up bringing the world to a standstill instead. The exact reason for why the roll out caused problems on Windows was not entirely clear, but experts speculate that a rogue file in the update apparently did not agree with Microsoft's operating system, causing systems to crash. Some speculate that faulty code or lack of quality checks prior to deployment could have been the problem. Whatever the case, all hell broke loose. "This is not a security incident or cyberattack," Crowdstrike Chief Executive George Kurtz tweeted as soon as customers' complaints began piling up. Naturally, questions have arisen around both Crowdstrike and Microsoft, both of whom hold a sizable market of the cybersecurity and OS space, respectively. One twitter user even posted a comparison of how Crowdstrike compared to its competitors (it's the second most valuable cybersecurity firm in the world). Judgment against Crowdstrike has been swift though, with the company's stock price plummeting Friday following the fiasco — wiping billions off of its valuation. Microsoft also saw its stock price fall following the event, dragging the broader stock indices down with it on Friday as the event caused a sell off in tech stocks. Things don't seem to have gotten better, with Dan Ives, a technical analyst on Wall Street, tweeting that IT outage issues still persisted. "This is not good news for George Kurtz & Co. in an already bad situation as it appears a number of businesses are still finding outage issues," Ives wrote. CNN reports that the cost from the global outage could top $1 billion, but there's no telling yet who will exactly foot the bill. There's a very high likelihood that customers will demand compensation from Crowdstrike, dragging it into legal distractions. Worse yet, Crowdstrike's brand reputation is also going to take a massive hit and its competitors may already be trying to eat away at the company's market share. In fact, Ives went on to say that Crowdstrike, which was not a widely known brand prior to this event, had become "a household name, but not in a good way." CrowdStrike CEO Kurtz also has an interesting history in that this isn't the first time he's been at the center of a global tech failure. In 2010, a buggy antivirus update from McAfee caused hundreds of thousands of computers to go kaput! Kurtz was the chief technology officer of McAfee at the time, and it doesn't look like there was a lot of blow back against him at the time. McAfee was reportedly bought by Intel a few months after the event and Kurtz ultimately ended up leaving the company to create CrowdStrike. For now, he's in hot water as US lawmakers have called on Kurtz to testify on the global IT outage caused by his company's update. Meanwhile, Microsoft said the event was a "reminder of how important it is for all of us across the tech ecosystem to prioritize operating with safe deployment and disaster recovery using the mechanisms that exist." The Windows maker estimated that CrowdStrike's update affected 8.5 million devices running its operating system, which was less than 1% of all Windows machines. "While the percentage was small, the broad economic and societal impacts reflect the use of CrowdStrike by enterprises that run many critical services," the company said in a blog post. I suppose that's Microsoft's way of reminding everyone of the 80-20 rule :-) Microsoft ranked #2 on HackerNoon's tech company rankings this week. In Other News.. 📰 Ethereum ETFs Approved by SEC, Bringing Popular Funds to Second-Largest Cryptocurrency — via CoinDesk
Cohere raises $500M to beat back generative AI rivals — via TechCrunch
Hackers are already taking advantage of the CrowdStrike outage chaos — via CNN
Google scraps plan to remove cookies from Chrome — via Reuters
The AI-generated disinformation dystopia that wasn't — via Axios
Autonomous AI workers that talk to each other will arrive in 2025, Capgemini predicts — via CNBC And that's a wrap! Don't forget to share this newsletter with your family and friends! See y'all next week. PEACE! ☮️ — Sheharyar Khan, Editor, Business Tech @ HackerNoon *All rankings are current as of Monday. To see how the rankings have changed, please visit HackerNoon's Tech Company Rankings page.*Tech, What the Heck!? is a once-weekly newsletter written by HackerNoon editors that combine HackerNoon's proprietary data with news-worthy tech stories from around the internet. Humorous and insightful, the newsletter recaps trending events that are shaping the world of tech. Subscribe here.* By now you're probably aware that a certain segment of the population last week experienced what some of us in the know refer to as the Blue Screen of Death™ — causing widespread panic and chaos, albeit briefly. Millions of Windows-based devices that power banks, airports, hospitals, and even broadcast stations went offline and started displaying that dreaded pop-up that usually signifies the unceremonious death of your PC. Millions of Windows-based devices Millions of Windows-based devices Imagine not being able to travel , pay, get treatment, or even tune in to your TV to learn what's going on because.. computer problems. 🙄 travel travel So, what happened? The way it began was that cybersecurity firm Crowdstrike deployed what should have been a regular, run-of-the mill update for its Falcon software to protect customers' computers against new cyber threats. Crowdstrike Crowdstrike That update ended up bringing the world to a standstill instead. The exact reason for why the roll out caused problems on Windows was not entirely clear, but experts speculate that a rogue file in the update apparently did not agree with Microsoft's operating system, causing systems to crash. why rogue file rogue file Some speculate that faulty code or lack of quality checks prior to deployment could have been the problem. Whatever the case, all hell broke loose. speculate speculate "This is not a security incident or cyberattack," Crowdstrike Chief Executive George Kurtz tweeted as soon as customers' complaints began piling up. Naturally, questions have arisen around both Crowdstrike and Microsoft, both of whom hold a sizable market of the cybersecurity and OS space, respectively. One twitter user even posted a comparison of how Crowdstrike compared to its competitors (it's the second most valuable cybersecurity firm in the world). posted posted Judgment against Crowdstrike has been swift though, with the company's stock price plummeting Friday following the fiasco — wiping billions off of its valuation. Microsoft also saw its stock price fall following the event, dragging the broader stock indices down with it on Friday as the event caused a sell off in tech stocks. Things don't seem to have gotten better, with Dan Ives, a technical analyst on Wall Street, tweeting that IT outage issues still persisted. "This is not good news for George Kurtz & Co. in an already bad situation as it appears a number of businesses are still finding outage issues," Ives wrote. tweeting tweeting CNN reports that the cost from the global outage could top $1 billion, but there's no telling yet who will exactly foot the bill. There's a very high likelihood that customers will demand compensation from Crowdstrike, dragging it into legal distractions. Worse yet, Crowdstrike's brand reputation is also going to take a massive hit and its competitors may already be trying to eat away at the company's market share. demand compensation demand compensation In fact, Ives went on to say that Crowdstrike, which was not a widely known brand prior to this event, had become "a household name, but not in a good way." CrowdStrike CEO Kurtz also has an interesting history in that this isn't the first time he's been at the center of a global tech failure. In 2010, a buggy antivirus update from McAfee caused hundreds of thousands of computers to go kaput! isn't the first time isn't the first time Kurtz was the chief technology officer of McAfee at the time, and it doesn't look like there was a lot of blow back against him at the time. McAfee was reportedly bought by Intel a few months after the event and Kurtz ultimately ended up leaving the company to create CrowdStrike. For now, he's in hot water as US lawmakers have called on Kurtz to testify on the global IT outage caused by his company's update. called called Meanwhile, Microsoft said the event was a "reminder of how important it is for all of us across the tech ecosystem to prioritize operating with safe deployment and disaster recovery using the mechanisms that exist." said said The Windows maker estimated that CrowdStrike's update affected 8.5 million devices running its operating system, which was less than 1% of all Windows machines. "While the percentage was small, the broad economic and societal impacts reflect the use of CrowdStrike by enterprises that run many critical services," the company said in a blog post. I suppose that's Microsoft's way of reminding everyone of the 80-20 rule :-) 80-20 rule 80-20 rule Microsoft ranked #2 on HackerNoon's tech company rankings this week. tech company rankings tech company rankings In Other News.. 📰 In Other News.. 📰 Ethereum ETFs Approved by SEC, Bringing Popular Funds to Second-Largest Cryptocurrency — via CoinDesk Cohere raises $500M to beat back generative AI rivals — via TechCrunch Hackers are already taking advantage of the CrowdStrike outage chaos — via CNN Google scraps plan to remove cookies from Chrome — via Reuters The AI-generated disinformation dystopia that wasn't — via Axios Autonomous AI workers that talk to each other will arrive in 2025, Capgemini predicts — via CNBC Ethereum ETFs Approved by SEC, Bringing Popular Funds to Second-Largest Cryptocurrency — via CoinDesk CoinDesk CoinDesk Cohere raises $500M to beat back generative AI rivals — via TechCrunch TechCrunch TechCrunch Hackers are already taking advantage of the CrowdStrike outage chaos — via CNN CNN CNN Google scraps plan to remove cookies from Chrome — via Reuters Reuters Reuters The AI-generated disinformation dystopia that wasn't — via Axios Axios Axios Autonomous AI workers that talk to each other will arrive in 2025, Capgemini predicts — via CNBC CNBC CNBC And that's a wrap! Don't forget to share this newsletter with your family and friends! See y'all next week. PEACE! ☮️ — Sheharyar Khan , Editor, Business Tech @ HackerNoon Sheharyar Khan Sheharyar Khan *All rankings are current as of Monday. To see how the rankings have changed, please visit HackerNoon's Tech Company Rankings page.*Tech, What the Heck!? is a once-weekly newsletter written by HackerNoon editors that combine HackerNoon's proprietary data with news-worthy tech stories from around the internet. Humorous and insightful, the newsletter recaps trending events that are shaping the world of tech. Subscribe here. * *All rankings are current as of Monday. To see how the rankings have changed, please visit HackerNoon's Tech Company Rankings page. *Tech, What the Heck!? is a once-weekly newsletter written by HackerNoon editors that combine HackerNoon's proprietary data with news-worthy tech stories from around the internet. Humorous and insightful, the newsletter recaps trending events that are shaping the world of tech. Subscribe here . *All rankings are current as of Monday. To see how the rankings have changed, please visit HackerNoon's Tech Company Rankings page. Tech Company Rankings Tech Company Rankings here here

How Could an Update Go So Wrong?

The burgeoning big data landscape is set to transform a range of industries over the coming years, and for global supply chains in dire need of more comprehensive levels of transparency and optimization, the data revolution couldn’t come soon enough. The global big data analytics market size already swelled to a value of $307.51 billion in 2023 and is expected to grow to $924.39 billion by 2032, representing a CAGR of 13% over the forecast period. Today, global supply chains can suffer from myriad inefficiencies that hinder their performance with troubling consequences. Factors like regulatory compliance, quality control, tracing faulty goods, and the ability to manage vendors can all cause disruptions that may hinder vendor relationships and adversely impact customer satisfaction. Environmental and geopolitical factors have also caused fresh turmoil in supply chains in recent months, with conflict in the Middle East impacting routes through the Suez Canal while drought is actively slowing the passage of goods through the Panama Canal. Although digital transformation in supply chains can’t actively reverse the impact of climate change, it can help to offer efficient solutions that counter the slowing and costly effects of disruption for global organizations. But how can firms maintain their productivity through data? Let’s take a deeper look at the scale of impact the big data revolution can have on global supply chains and vendor management: Next-Generation Forecasting Forecasting empowers organizations to anticipate emerging problems or issues that could impact supply chain performance in the future. Big data processes like predictive modeling and trend forecasting can provide companies with stronger insights in anticipating customer spending, emerging trends, and wider market changes. There are three key areas where next-generation forecasting will pave the way for more supply chain efficiency, and they include: Anticipating demand: Here, big data can be utilized to create predictive models through the analysis of historical data and market trends that anticipate customer behavior and seasonal trends to efficiently manage inventories and deliver personalized experiences for customers. Data suggests that this already has a positive impact on brand performance, and a recent McKinsey report suggests a 115% higher ROI and 93% higher profits can be achieved by companies using customer analytics reports. Further down the supply chain, manufacturers and shipping firms can use these analytical models to predict production demand and delivery analytics. Optimizing inventories: Because big data analytics can help to forecast demand fluctuations and seasonality patterns, it can also utilize reservoirs of historical sales data, current inventory levels, and future demand forecasts to analyze and determine the optimal inventory rates for every product's business stock. We’ve already seen retail giants like Amazon embrace big data for this purpose and to simplify key decision-making processes. Mapping production: Big data can streamline production schedules by actively monitoring machine utilization, the availability of staff, and the accessibility of materials. By integrating this data from production systems and a variety of other sources, it’s possible to achieve a fully optimized production process that limits idleness and bolsters efficiency on a comprehensive scale. For a more holistic supply chain overview, companies can partner with logistics firms that can deliver more supply chain resilience models along with more alternative solutions. With many supply chains impacted by issues in the Suez and Panama canals, the merits of utilizing a logistics firm that can accommodate the hard-to-predict disruptions and drawbacks like geopolitical events, extreme weather, and any other form of disruption and offer a multimodal alternative is clear. Integrating Artificial Intelligence Big data has an intrinsic relationship with artificial intelligence, and we’re already seeing the development of a key focus on data reliability and relevance among companies seeking to optimize supply chains through AI. Here, it’s essential to achieve lower latency and utilize data that can be rapidly analyzed to deliver more real-time decision-making. Artificial intelligence can also be an asset for active compliance management to help brands stay in tune with their values by actively vetting the companies within a supply chain and their processes. In the future, we can expect AI and data analytics to become better integrated with different forms of structured and unstructured data, and this will help businesses make use of logistics data directly to improve supply chain management. The beauty of AI in the data management process is that generative tools can help to provide data in a variety of different formats, including image files and PDFs, which can be more effectively utilized by various tools for recognition and understanding. Leveraging a Transparent Supply Chain One area where big data can excel in supply chain management is through the transparency it affords supply chains from the top all the way down. Through multifaceted data sourcing from suppliers, warehouses, transportation providers, and customers, businesses can obtain real-time insights into live inventory levels, shipment statuses, and demand patterns, which can then be actively monitored through artificial intelligence programs. These transparent measures are already in use today among leading retailers, and Walmart actively leans on big data analytics to monitor product sales and inventory levels to restock shelves at a pace that’s consistent with delivery forecasts and supplier production rates–helping to actively save costs and uphold the strongest levels of customer satisfaction. In addition, a recent study by Capgemini found that companies investing in real-time supply chain visibility can benefit from a 50% reduction in instances of out-of-stock inventory and a 10% improvement in perfect order delivery. Unprecedented Chain Management Big data can also optimize existing processes at an unprecedented level. While it can leverage fresh efficiency throughout the production of goods and inventory levels, these insights can also help to cut costs significantly and drive efficiency when it comes to delivery fleet management. Here, data can optimize route deployment, delivery schedules, and item location to help customers receive their orders faster without vehicles having to repeat preventable processes over and over. UPS has utilized this perk of big data exceptionally well within its shipping processes. Radars and sensors are used to capture data as packages move throughout the supply chain, while big data insights optimize driver routes to ensure that packages arrive by their expected date. This has helped UPS to save 1.6 million gallons of gasoline in their truck each year, saving costs across the board. Likewise, big data brings efficiency to businesses in managing vendors. Intelligent payout solutions backed by real-time reporting and analytics can help streamline the vendor management process and ensure that all facets of a supply chain are paid for their work in a way that enhances liquidity and improves relationships throughout the chain. Here, payouts can be leveraged on the delivery of goods in a fully compliant manner to deliver automation to time-consuming processes backed by data analytics. Unlocking Supply Chain Efficiency Emerging technology like big data analytics is helping to transform the operational efficiency of companies across a variety of industries. Digitalization within supply chains can help companies make more intelligent decisions while tracking emerging trends to ensure that nobody misses a beat when inventory demands or requirements change. As big data continues to become more sophisticated, its functionality within the supply chain will grow. This will help businesses avoid the pitfalls of inefficient chains in the future and continue delivering for customers in a semi-automated manner. The burgeoning big data landscape is set to transform a range of industries over the coming years, and for global supply chains in dire need of more comprehensive levels of transparency and optimization, the data revolution couldn’t come soon enough. The global big data analytics market size already swelled to a value of $307.51 billion in 2023 and is expected to grow to $924.39 billion by 2032 , representing a CAGR of 13% over the forecast period. expected to grow to $924.39 billion by 2032 expected to grow to $924.39 billion by 2032 Today, global supply chains can suffer from myriad inefficiencies that hinder their performance with troubling consequences. Factors like regulatory compliance, quality control, tracing faulty goods, and the ability to manage vendors can all cause disruptions that may hinder vendor relationships and adversely impact customer satisfaction. Environmental and geopolitical factors have also caused fresh turmoil in supply chains in recent months, with conflict in the Middle East impacting routes through the Suez Canal while drought is actively slowing the passage of goods through the Panama Canal. caused fresh turmoil caused fresh turmoil Although digital transformation in supply chains can’t actively reverse the impact of climate change, it can help to offer efficient solutions that counter the slowing and costly effects of disruption for global organizations. But how can firms maintain their productivity through data? Let’s take a deeper look at the scale of impact the big data revolution can have on global supply chains and vendor management: Next-Generation Forecasting Forecasting empowers organizations to anticipate emerging problems or issues that could impact supply chain performance in the future. Big data processes like predictive modeling and trend forecasting can provide companies with stronger insights in anticipating customer spending, emerging trends, and wider market changes. There are three key areas where next-generation forecasting will pave the way for more supply chain efficiency , and they include: pave the way for more supply chain efficiency pave the way for more supply chain efficiency Anticipating demand: Here, big data can be utilized to create predictive models through the analysis of historical data and market trends that anticipate customer behavior and seasonal trends to efficiently manage inventories and deliver personalized experiences for customers. Anticipating demand: Here, big data can be utilized to create predictive models through the analysis of historical data and market trends that anticipate customer behavior and seasonal trends to efficiently manage inventories and deliver personalized experiences for customers. Anticipating demand: Here, big data can be utilized to create predictive models through the analysis of historical data and market trends that anticipate customer behavior and seasonal trends to efficiently manage inventories and deliver personalized experiences for customers. Data suggests that this already has a positive impact on brand performance, and a recent McKinsey report suggests a 115% higher ROI and 93% higher profits can be achieved by companies using customer analytics reports. Further down the supply chain, manufacturers and shipping firms can use these analytical models to predict production demand and delivery analytics. Optimizing inventories: Because big data analytics can help to forecast demand fluctuations and seasonality patterns, it can also utilize reservoirs of historical sales data, current inventory levels, and future demand forecasts to analyze and determine the optimal inventory rates for every product's business stock. Optimizing inventories: Because big data analytics can help to forecast demand fluctuations and seasonality patterns, it can also utilize reservoirs of historical sales data, current inventory levels, and future demand forecasts to analyze and determine the optimal inventory rates for every product's business stock. Optimizing inventories: Because big data analytics can help to forecast demand fluctuations and seasonality patterns, it can also utilize reservoirs of historical sales data, current inventory levels, and future demand forecasts to analyze and determine the optimal inventory rates for every product's business stock. We’ve already seen retail giants like Amazon embrace big data for this purpose and to simplify key decision-making processes. Mapping production: Big data can streamline production schedules by actively monitoring machine utilization, the availability of staff, and the accessibility of materials. By integrating this data from production systems and a variety of other sources, it’s possible to achieve a fully optimized production process that limits idleness and bolsters efficiency on a comprehensive scale. Mapping production: Big data can streamline production schedules by actively monitoring machine utilization, the availability of staff, and the accessibility of materials. By integrating this data from production systems and a variety of other sources, it’s possible to achieve a fully optimized production process that limits idleness and bolsters efficiency on a comprehensive scale. For a more holistic supply chain overview, companies can partner with logistics firms that can deliver more supply chain resilience models along with more alternative solutions. With many supply chains impacted by issues in the Suez and Panama canals, the merits of utilizing a logistics firm that can accommodate the hard-to-predict disruptions and drawbacks like geopolitical events, extreme weather, and any other form of disruption and offer a multimodal alternative is clear. Integrating Artificial Intelligence Big data has an intrinsic relationship with artificial intelligence, and we’re already seeing the development of a key focus on data reliability and relevance among companies seeking to optimize supply chains through AI. Here, it’s essential to achieve lower latency and utilize data that can be rapidly analyzed to deliver more real-time decision-making. rapidly analyzed rapidly analyzed Artificial intelligence can also be an asset for active compliance management to help brands stay in tune with their values by actively vetting the companies within a supply chain and their processes. In the future, we can expect AI and data analytics to become better integrated with different forms of structured and unstructured data, and this will help businesses make use of logistics data directly to improve supply chain management. The beauty of AI in the data management process is that generative tools can help to provide data in a variety of different formats, including image files and PDFs, which can be more effectively utilized by various tools for recognition and understanding. Leveraging a Transparent Supply Chain One area where big data can excel in supply chain management is through the transparency it affords supply chains from the top all the way down. Through multifaceted data sourcing from suppliers, warehouses, transportation providers, and customers, businesses can obtain real-time insights into live inventory levels, shipment statuses, and demand patterns, which can then be actively monitored through artificial intelligence programs. These transparent measures are already in use today among leading retailers, and Walmart actively leans on big data analytics to monitor product sales and inventory levels to restock shelves at a pace that’s consistent with delivery forecasts and supplier production rates–helping to actively save costs and uphold the strongest levels of customer satisfaction. In addition, a recent study by Capgemini found that companies investing in real-time supply chain visibility can benefit from a 50% reduction in instances of out-of-stock inventory and a 10% improvement in perfect order delivery. 50% reduction 50% reduction Unprecedented Chain Management Big data can also optimize existing processes at an unprecedented level. While it can leverage fresh efficiency throughout the production of goods and inventory levels, these insights can also help to cut costs significantly and drive efficiency when it comes to delivery fleet management. Here, data can optimize route deployment, delivery schedules, and item location to help customers receive their orders faster without vehicles having to repeat preventable processes over and over. UPS has utilized this perk of big data exceptionally well within its shipping processes. Radars and sensors are used to capture data as packages move throughout the supply chain, while big data insights optimize driver routes to ensure that packages arrive by their expected date. This has helped UPS to save 1.6 million gallons of gasoline in their truck each year, saving costs across the board. save 1.6 million gallons save 1.6 million gallons Likewise, big data brings efficiency to businesses in managing vendors . Intelligent payout solutions backed by real-time reporting and analytics can help streamline the vendor management process and ensure that all facets of a supply chain are paid for their work in a way that enhances liquidity and improves relationships throughout the chain. vendors vendors Here, payouts can be leveraged on the delivery of goods in a fully compliant manner to deliver automation to time-consuming processes backed by data analytics. Unlocking Supply Chain Efficiency Emerging technology like big data analytics is helping to transform the operational efficiency of companies across a variety of industries. Digitalization within supply chains can help companies make more intelligent decisions while tracking emerging trends to ensure that nobody misses a beat when inventory demands or requirements change. As big data continues to become more sophisticated, its functionality within the supply chain will grow. This will help businesses avoid the pitfalls of inefficient chains in the future and continue delivering for customers in a semi-automated manner.

Unlocking the Invaluable Role of Big Data in Modern Supply Chain Management

As an AI expert, let me be blunt - cyber threats are a massive, unrelenting risk that no business with an online presence can afford to ignore these days. Whether you're running an e-commerce site, logistics operation, or tech firm, phishing, ransomware attacks, or data breaches - these scourges can cripple a company, leading to devastating financial losses, irreparable brand damage, and even regulatory penalties that could bury you. I've personally seen the aftermath of cyber strikes on SMBs with limited security resources and tight budgets. In those cases, traditional cybersecurity just doesn't cut it against today's attack of threats. But that's exactly where artificial intelligence (AI) emerges as a total game-changer. discovered that organizations leveraging AI and automation extensively saved a mind-blowing $1.76 million on average compared to their less AI-savvy counterparts. IBM's 2023 Cost of Data Breach Report And I can testify that AI-powered cyber defense solutions truly earn those savings. By unleashing cutting-edge AI techniques like machine learning, deep learning models, and natural language processing, modern AI cybersecurity acts like an indispensable digital force multiplier reinforcing our defenses against even the wiliest adversaries. As an AI expert, I've deployed these capabilities for clients - it's like having an entire squad of cybersecurity sentries patrolling the digital premises 24/7 to keep the bad actors at bay. Moving forward, I don't believe adopting advanced AI will be a luxury for organizations - it's a flat-out necessity we can't ignore. Whether you're a small business or a giant enterprise, you'd better get proactive and start leveraging AI's offensive cybersecurity potential to safeguard your vital digital assets and ensure continuous operations. In my opinion, AI is quickly separating the cybersecurity haves from the have-nots. AI's Cyber Offense: How It Turbocharges Threat Detection I can't overstate how AI is revolutionizing cybersecurity by unleashing cutting-edge threat detection and response capabilities never before possible. Just look at the rapidly growing market - projects that AI in the cybersecurity sector will explode from $22.4 billion in 2023 to $60.6 billion by 2028. And there are good reasons behind that meteoric growth. MarketsandMarkets Machine learning algorithms excel at quickly identifying patterns and anomalies within massive datasets - making them invaluable assets for recognizing potential cyber threats amid tons of network traffic, user activity logs, and other data. By training these algorithms on historical data, we can have them recognize known attack signatures and deviations signaling new threats before they can wreak havoc. One study I find particularly compelling is from MDPI, showing machine learning models achieved up to 99% malware detection accuracy using techniques like Decision Trees, Convolutional Neural Networks, and Support Vector Machines. That's the level of precision AI can deliver against emerging threats. There are deep learning models that I've deployed to rapidly analyze and classify malware samples with incredible accuracy. The latest deep-learning architectures can see patterns invisible to the naked eye. However, some of the most exciting AI cybersecurity applications my team has tested involve reinforcement learning for adaptive threat response. These self-learning systems can dynamically adjust defensive actions on the fly based on their experiences against evolving attack vectors. Allied Market Research predicts reinforcement learning will see explosive 41.5% annual growth from 2023 to 2032, with cybersecurity as a prime use case. Let's not overlook natural language processing (NLP) for automating incident analysis. I've personally overseen NLP deployments that can rapidly comprehend human language data from reports, intelligence feeds, and more - streamlining our incident response workflows and prioritizing genuine threats over false positives. Combining all these AI disciplines is delivering incredible offensive capabilities to counter even the trickiest cyber adversaries. As an expert and founder in this space, I truly believe AI's ability to autonomously detect and shut down threats before impact will utterly transform cybersecurity over the coming years. Why UEBA and User Behavior Monitoring Matter (And How AI Excels) The cyber risk from malicious insiders or compromised user accounts is one we can't overlook either. That's why I consider user and entity behavior analytics (UEBA) powered by advanced AI/ML models to be paramount for comprehensive, 360-degree security visibility. At a basic level, these AI-driven UEBA solutions leverage machine learning to establish baselines modeling each user's normal behavior based on their activity patterns. Once those baselines are established, the AI can continuously monitor for deviations that may indicate insider threats, privilege abuse, compromised accounts, and other insider risk vectors. What makes this application of AI so powerful is its ability to dynamically score the risk level of unusual user actions based on contextual factors like their role, access privileges, the sensitivity of data/systems involved, and more. This enables real-time flagging of potentially malicious insider activity for further investigation - something that was highly prone to human error with traditional, rigid rule-based approaches. Another area where I've seen UEBA with AI shine is detecting compromised privileged user accounts, which are prime targets for external threat actors seeking a foothold. By understanding the unique behavior patterns of different privileged user roles, AI can rapidly identify the subtle anomalies of a privileged account under hostile control - giving our teams a chance to shut down that breach before catastrophic damage occurs. In my opinion, deploying AI for insider and privileged user threat detection by understanding human behavior is an absolute game-changer. Monitoring our people and accounts is just as vital as external threat monitoring - without it, we're leaving a gaping hole in our defenses that skilled adversaries will inevitably find and exploit. Of course, my teams always emphasize that AI-powered UEBA is just one layer in a comprehensive, defense-in-depth strategy. But it's a crucial layer that lets us get in front of insider incidents before they escalate - buying time that can mean the difference between a contained issue and a full-blown crisis. The Flip Side: Defending Against AI-Powered Threats As amazing as AI's cybersecurity offensive capabilities are, I have to address the flip side too: hackers are actively working on ways to weaponize AI against us. Adversarial attacks designed to bypass, poison, or steal our AI models are a clear and present danger we can't ignore. One disturbing forecast from research analysts indicates: Up to 30% of AI cyberattacks will leverage training data poisoning, model stealing, or adversarial examples to attack AI-powered systems. But we're not defenseless - there are proven ways to harden AI systems against these tactics if we invest in robust AI security controls from the start. Approaches like adversarial training, where models are intentionally exposed to deceptive inputs during the learning process, can improve resilience against evasion. Differential privacy techniques can also obscure model behavior to thwart extraction attacks. We follow best practices around secure AI development Life Cycle, subjecting our models to rigorous adversarial testing and employing defensive AI techniques to stay ahead of emerging threats. I don't mean to sound alarmist, but the cybersecurity industry at large needs to prioritize battling AI-powered threats just as much as leveraging AI for defense. It's a two-way street - we must secure the AI models underpinning our cyber defenses with the same vigor we apply AI offensively. Neglecting AI security WILL be exploited by sophisticated hackers. So while I'm incredibly confident about AI's potential to revolutionize cyber threat detection and response, I'm also pragmatic. We simply can't ignore the dark side and must proactively invest in developing and deploying AI securely to maintain a decisive strategic advantage. Integrating AI Across Security Operations Of course, AI alone is not a silver bullet for cybersecurity. Its true power comes from thoughtful integration across existing processes, teams, and technology stacks. As an enthusiastic AI Expert, I emphasize this force-multiplier effect to clients constantly. AI should augment and empower human expertise, not replace it entirely. That's why the most successful deployments I've seen use AI to offload tedious, repetitive tasks to machines - freeing up skilled personnel to focus on higher-level analysis, investigation, and decision-making that requires human judgment. That's also why AI is rapidly becoming essential for SOC analysts and incident response teams: by automating alert triage, log analysis and basic response workflows, AI drastically reduces burnout from low-value "grunt work" while improving overall efficiency. Research from Capgemini revealed organizations using AI for security operations saw a 12% increase in breach detection rates and an impressive 19% reduction in time-to-respond. Those are major gains I've validated through my own startup's AI deployments. AI and machine learning are also driving huge advances in security orchestration, automation, and response (SOAR) tools that streamline entire incident response processes. With SOAR, AI handles tasks like correlating disparate security signals, surfacing relevant threat intelligence, and even executing semi-automated response playbooks. It's a huge step towards smarter, more autonomous incident handling. Ultimately though, AI is a complement to skilled human teams, not a wholesale replacement. Cybersecurity operations will always require human expertise, analysis, and judgment. But by intelligently augmenting our people with AI automation and assistance, we can concentrate their talents on higher-impact duties while optimizing productivity and efficiency. I already see this human-machine symbiosis enhancing the industry's ability to outpace threats. As AI integration continues maturing, I'm confident embracing this collaborative model is the only way we'll realistically close the cybersecurity skills gap plaguing our field. AI's Cybersecurity Superpowers By rapidly analyzing network data, user activities, system logs, and more, AI can identify malicious behavior patterns and potential threats with superhuman speed - giving us an early warning to shut down attacks before escalation. Threat Detection & Prevention: While phishing lures and malware grow more devious, AI algorithms can precisely distinguish malicious files and emails from legitimate ones by evaluating content, sender metadata, behavioral signals, and other artifacts that often evade human analysis. Phishing and Malware Detection: Rather than rigid rules, AI lets us dynamically model normal user activity baselines. It can then rapidly detect anomalies indicative of insider threats, compromised accounts, data exfiltration attempts, and more - all in real-time. User Behavior Analytics: I've deployed AI to prioritize vulnerabilities based on their risk and exploit potential, automating the triaging process. AI can also correlate vulnerabilities with active threats, showing us which exposures need patching first. Automated Vulnerability Management: Modern AI-powered SIEM solutions can correlate security events across networks, endpoints, and other sources to rapidly identify genuine incidents amidst the noise. AI also streamlines response workflows based on alert contexts. Smart SIEM & Incident Response: Across incident triage, alert analysis, threat hunting, and more, AI is automating repetitive, labor-intensive security tasks - amplifying the impact of human personnel while reducing burnout and fatigue. Security Ops Automation: I could go on, but you get the idea. As an AI expert and entrepreneur, I've seen these capabilities utterly transform cybersecurity operations into an amazingly proactive, autonomous counter-threat force. And AI's offensive cyber capabilities are still rapidly evolving. The Way Forward: Practical AI Cyber Defense But when I gaze into the future of AI-powered cybersecurity, I see incredible potential beyond just better threat detection and response. Used wisely, I believe AI can fundamentally reshape and elevate our entire profession into a truly proactive, predictive security posture - finally outpacing even the wiliest cyber adversaries. However, realizing this AI-driven future won't happen automatically. It requires us as an industry to thoughtfully and securely integrate AI across our people, processes, and technology stacks with a keen focus on augmenting human expertise and capabilities rather than wholesale automation. At an operational level, this will mean embracing increasingly autonomous security workflows offloaded to AI systems - handling tedious triaging and basic response while escalating only the most critical issues to skilled analysts for analysis and key decisions. It's a pragmatic balance of human and machine capabilities. We'll also need a new class of cybersecurity professionals fluent in interpreting AI system outputs and translating them into strategic guidance. These AI-savvy analysts must be adept at not just using but explaining and justifying AI system behaviors and decisions to leadership stakeholders. It plays a crucial role in building organizational trust and accountability around AI systems. Additionally, organizations must adopt secure AI system development lifecycles, proactively battling adversarial AI threats through approaches like robust model training, adversarial testing, privacy-preserving analytics, and defensive AI architectures. We simply can't leave our AI systems vulnerable to adversarial subversion. Thankfully, I see positive momentum towards these goals across the AI security startup ecosystem and cybersecurity community. But we must keep pressing forward holistically - investing in skilling our people, refining our processes, and pioneering new AI-centric technologies securely and ethically. Only then can we responsibly wield AI's incredible cyber defense potential without enabling worse nightmares. Despite all the work ahead, I'm hugely optimistic as an AI expert and founder. I've already deployed these transformative AI capabilities in the field, experiencing their game-changing impact firsthand. AI gives us a truly decisive advantage in combating even the most sophisticated threat actors - if we successfully fuse machine intelligence and human expertise. It won't be easy, but I'm convinced the payoff will be a safer, more secure digital world actively hardening itself against cyber threats in real-time. A world where novel attacks are neutralized before impact, where vulnerabilities are patched before exploitation, and where malicious insiders and compromised accounts are stopped in their tracks. Best of all, AI cyber defense done right should free up our human personnel for higher-impact strategic work, not tedious data grunt work. AI should empower us to be the cybersecurity experts, creative problem-solvers, and strategic leaders we always aspired to be - not menial attack analysts. So to my fellow AI professionals, founders, and innovators - the path ahead is clear. Let's blaze this trail TOGETHER, pioneering the new era of practical, intelligent, and ethical AI-powered cyber defense. The future of digital safety depends on us doing this right. And with our unique combination of human ingenuity and machine intelligence, I'm confident we're up to the immense challenge. Let's get to work.

Applications of Artificial Intelligence in Cybersecurity: Boosting Threat Defense System

86 Stories To Learn About Payments

Dashboard software has become a necessary tool for businesses. With all the information you must gather and monitor about your business, you may wonder how to get the most out of it. Actionable insight can help you gain a competitive edge, considering the gap between data and business value. In fact, in 2023, achieved measurable value from and analytics investments, which reinforces the need for data-driven decision-making. 91.9% of organizations data to ensure you understand your data and benefit from it. Dashboard software merges data from linked databases and provides a customizable and interactive platform for data visualization Additionally, it empowers everyone in your company, from a data analyst to a junior manager, allowing them to visualize, present, and use data in any way that makes sense to them. In this article, we’ll explore the most eminent benefits of dashboard software and how you can leverage them to get the most out of your investment. 1. Effective Data Visualization Businesses gather huge amounts of data. Understanding such amounts of data can be challenging and time-consuming, to say the least, necessitating the need for tools that can help organize your data in a manner you can comprehend. When this is not possible, your business may experience challenges in making decisions and executing them in time. How can you make decisions based on data communicated ineffectively? Similarly, . This leads to a lot of time wasted trying to organize and present huge amounts of data. without data visualization, your employees may not know where to focus their attention to improve productivity One of the benefits of dashboard software is its ability to transform your business data into easy-to-understand graphs, images, and charts, which are essential considering that the human brain processes visual information more readily than textual information. Actually, the use of visual language is proven to enhance effectiveness and efficiency, leading to 24% shorter meetings. It is safe to conclude that this statistic is only possible because visualization enables data to be easily communicated and understood. The software interprets and simplifies the data for you to help generate true value for your business. It becomes easier to make decisions, recognize patterns and errors, and improve data analysis. GenerationE is an IT solutions provider that captures and automates best practices for IT operations by up to 85%. InetSoft provided a visualization layer for GenerationE, helping the company and saving its team the effort of charting and analyzing log data in external reporting systems. monitor the performance of automated processes 2. Improves Decision Making Great data, when analyzed correctly, can help enhance decision-making. It is important to gather and analyze business data to understand key business metrics and your performance to help you make better decisions to upscale. Without good dashboard software, your business may experience challenges collecting and managing data as it is scattered across multiple databases. Even if you can access this data from siloed systems, moving and analyzing it manually takes time and can impede accurate reporting and fast decision-making. Slow and inefficient decision-making can negatively impact your business in 2024 by costing you missed opportunities, time, and money. Dashboard software merges data from different sources and provides immediate access to at-a-glance information, ensuring you make decisions quickly to avoid missing out on opportunities. Additionally, with clear, actionable insights, you can make more accurate data-driven decisions and create business-boosting strategies to give you a competitive edge. In fact, Insight-driven businesses are growing at an average of , according to a report by Forrester. 30% each year This figure summarizes the when it comes to decision-making. Data in the digital era is extremely critical, and it helps to have the right tools to help you leverage. benefits of dashboard software Kreditech is a financial company based in Germany that offers clients loans based on their creditworthiness. Data analysis and decision-making are therefore critical. After incorporating Datapine, Kreditech was able to decentralize decision-making and achieve faster and smarter data-driven decisions. Thanks to the software’s friendly interface, users were able to work with zero IT overhead. 3. Increases Business Efficiency Enhancing business efficiency can help grow your business. It is undeniable how critical business efficiency is to grow and survive in the current economic climate. Without dashboard software, your business risks inefficiencies due to siloed information, manual data entry processes, ineffective data organization, and presentation. To err is human, so inefficiencies can frequently occur without the right tools to streamline business intelligence operations. Manual processes can also lead to data errors that are more prevalent when dealing with large amounts of data. In fact, Gartner found out that organizations believe poor data quality to be responsible for per year in losses. an average of $15 million For starters, reducing manual tasks is a key component for successful business management and plays a huge role in increasing efficiencies. It is a no-brainer that automation technologies like dashboard software can achieve more than a human and deliver more efficient results through workflow automation. A dashboard software offers smart, autonomous data management solutions to help you save time and money by gathering quality insights. Additionally, dashboard software brings data from different sources into a central respiratory system, eliminating the need for multiple external solutions. Therefore, you can be able to take quick action on your data-driven insights to upscale your business. Parcero is a Columbian marketing agency that was looking for a solution to help save time on manual processes. After implementing Klipfolio, Parcero was able to automate client reporting and enhance efficiency. They recorded in repetitive advertising tasks and 73% in repetitive reporting tasks. 33% time savings 4. Empowers End-Users Dashboard software empowers your employees to be self-reliant. The amount of time wasted waiting for data analysts and IT teams to present and explain data is a lot. This is not to mention that it distracts them from focusing on their job to advance the business’s goals. Unfortunately, there remains a huge gap between having data and being able to use it. Even with huge amounts of data, most businesses need help to take action on the valuable insight because they cannot interpret it. In fact, struggle with utilizing their , according to Talend. 78% of executives data for decision-making Imagine how much you could achieve if your employees could access and interpret data on their own without relying on data analysts. Well, one of the in business intelligence is empowering end-users by providing a simplified and clear platform where they can access data and manipulate it in a way that makes sense to them. benefits of dashboard software This ensures enhanced productivity, prompt decision-making, and minimized costs thanks to the ability to get answers independently without needing help from the BI or IT team. This also allows your IT team to focus on their job without being distracted by frequent help requests. GMS is a leading distributor of construction products based in Georgia. The company was looking for an easy-to-implement solution to help users access valuable insights. Thanks to InetSoft, GMS users can based on data consolidated into interactive reports that are easy to read. make quick business decisions 5. Reduces Operating Costs Dashboard software can minimize business costs. Without a great dashboard software in 2024, data remains fragmented across multiple systems and databases, impeding prompt decision-making. Siloed data can result in expensive operational costs caused by inefficiencies, analysis, and manual data collection. . Without , your employees may spend hours fetching and trying to interpret data. Time is money, and when you are losing both, you could be laying a foundation for your business’s failure the right tools In fact, Airtable’s research revealed that knowledge workers reported spending nearly 29% of their week (11.6 hrs) searching for the key information they need to do their work. Conversely, implementing dashboard software provides a central repository that combines and organizes data from different sources to provide clear visibility of key metrics. . It also provides a unified view that lets you easily identify cost-saving optimization opportunities and budget allocation opportunities In addition to that, dashboard software capabilities such as automation help to eliminate manual and repetitive tasks that can be time-consuming. Consequently, this reduces the chances of inefficiencies and errors that could cost you money. Dashboard software significantly reduces operational expenses by identifying inefficiencies promptly, optimizing resource allocation, and making data-driven decisions, ultimately contributing to substantial cost savings. Just Spices is a German-based company that manufactures spices. The company had been investing a lot of time in extracting and analyzing data for a while. With Klipfolio, Just Spices as they could access and visualize key metrics that show different departments where help is needed instead of having people extract data. saved time and money Conclusion In the digital age, data is extremely essential for businesses. How you use the business data you gather can influence the success of your business. However, with vast amounts of data, it can be challenging even for experts to organize and leverage data to get the best out of it. Dashboard software benefits such as reduced costs, enhanced efficiency, and clear visibility into key metrics can set your business apart. Actually, according to Capgemini, say its company’s Big Data initiatives are profitable. 27% of business executives Investing in a great dashboard software in 2024 can empower small businesses with enterprise-level insight without exaggerated costs.

5 Benefits of Dashboard Software for Business Intelligence in 2024

Navigating the Ethics of Artificial Intelligence 

কৃত্রিম বুদ্ধিমত্তার নৈতিকতা নেভিগেট করা

Navigieren in der Ethik der künstlichen Intelligenz

Navegando por la ética de la inteligencia artificial

Naviguer dans l’éthique de l’intelligence artificielle

आर्टिफिशियल इंटेलिजेंस की नैतिकता को नेविगेट करना

人工知能の倫理をナビゲートする

인공 지능의 윤리 탐색

Navegando na Ética da Inteligência Artificial

Навигация по этике искусственного интеллекта

Yapay Zeka Etiğinde Gezinmek

Điều hướng đạo đức của trí tuệ nhân tạo

探讨人工智能的伦理问题

Let's learn about via these 86 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Sustainability /Learn Repo 1. 5 Emerging Climate Tech Startups to Watch in 2022 and Beyond Climate change is a global challenge that can no longer be denied, and technology is here to help. Meet 5 most promising ClimateTech startups to watch in 2022! 2. Why We Should All Pay Attention To Recent Food Tech Innovations There is a lot of food tech innovations out there that have been popping up over the past few years. And food tech has become a fairly popular industry to be in 3. Greed To Green: Inside The New Trend Of Regenerative Finance How can we go from an extractive to a regenerative economic system? ReFi is the web3 answer, using crypto and blockchain to tackle climate change. 4. Sustainable Agriculture, Space Colonization, And Food Security Challenges As humans colonize space, advances in key agricultural technologies are key to achieving long term survivability and also help Earth at the same time. 5. Smart Factories And Sustainability: Is Zero Waste Possible In Manufacturing? Under the influence of Industry 4.0 and IoT, businesses are ready to switch to smart factories. The uniqueness of the moment lies in the fact that any developing and developed state is able to create a powerful foundation for sustainable development in the future. The smart factory is the element of the Factory of the Future paradigm, which in fact is a brick in building the innovative economy of the future, and mechanical engineering, by virtue of its innovative nature. 6. 3D Printed Houses? Here’s Why That’s Good News for the Housing Shortage The gulf between those who are sanguine and those who are circumspect about 3D building construction is as great as the one between the cutting-edge city of Dubai and the woods of upstate New York, which also happen to be two places where the technology has been put to use. 7. Harvard Researchers have Created Shape-Shifting Wool Fabric Researchers from Harvard University have developed a biodegradable and sustainable wool-like fabric tech with pre-programmed shape memory. 8. How AI Empower Sustainable Growth of the Organisations The propagation of artificial intelligence (AI) is making a significant impact on society, changing the way how we work, live, and communicate. AI today is allowing the world to diagnose diseases and develop clinical pathways. It is also being used to match individuals’ skill sets with job openings and create smart traffic that leads to the reduction of pollution. There are many examples of applying AI technologies in the sustainable growth of the planet and organisations. 9. Scaling a Digital Business for Sustainability: 5 Tips to Follow If you’re a digital business owner, this is the best time for you to focus on growth, expansion, and sustainability. 10. Capgemini Growth Rates Double as Sustainability Efforts Expand Capgemini is furthering their environmental sustainability efforts in 2022, and has already dropped company-wide carbon emissions by 29%. 11. "Stay hungry and go your own way", advised Felix Paul Wagner, Managing Partner of Next Mobility Lab Next Mobility Labs was nominated as one of the best startups in Mainz, Germany in Startups of the Year hosted by HackerNoon. 12. Volcanos and New Proof Methods are great, but Bitcoin's Energy Problem Falls on the Community The environmental cost of blockchain technologies and cryptocurrencies is high, but the answer doesn't only lay with energy production and better proof methods 13. The Problem with Buzzwords and Megatrends: Marketers Beware! Almost all technology products seem to be enhanced by AI, with a foot in the Metaverse and working for a sustainable future. What does all this buzz mean? 14. About Mac Sunsetting macOS Catalina Every Apple computer released prior to 2013 will be rendered obsolete and insecure, thanks to the impending death of macOS Catalina. 15. Wannie Park, Zen Ecosystems CEO, On Current Energy Infrastracture And Circular Economy Zen Ecosystems, Startups of the year nominee, provides sustainable energy solutions for small to medium-sized businesses. Here's an interview with their CEO. 16. Towards a Greener World: Discussing Sustainable Investments with Stan Bharti Forbes & Manhattan Founder Stan Bharti on his career, ideas on sustainable investing, and the future of green investments. 17. Is Cloud Computing Really More Sustainable? We've all heard the environmental benefits of cloud computing, but there are some cons as well. Is the cloud really more sustainable? 18. "Is This How Our Story is Due to End?" #COP26 Are we investing in the right things or failing to see the bigger picture in pursuit of short-term goals? 19. Making User Activity on Your Website CO2 Neutral Enrex continually looks for innovative methods in applying offsetting services in digital industries. 20. Virtual Sampling: Reducing Waste in Design & Product Development Virtual sampling has become an applicable alternative for brands to utilize in their production process. A brand like Hugo Boss are adopting this. 21. Make Your App or Site Carbon Neutral in 3 Steps 22. World's First Crypto-Fashion week: Recap And Analysis The first crypto fashion week just happened, making way for a new wave of fashion but without the materiality. 23. Sustainable Computing beyond the Cloud Extreme increases in data streams are expanding the cloud's carbon footprint; a sustainable alternative to Cloud dependence has been developed. 24. Fuelling EV Adoption: the UK’s Petrol Crisis Could See a Rise in Electric Vehicle Stock Prices Let’s take a deeper look at the opportunities that are potentially rising through the UK petrol shortage. 25. The rise of Virtual Fashion and the very first Crypto-Fashion week The first crypto fashion week just happened, making way for a new wave of fashion but without the materiality. 26. Carina Ayden On Being an Environmentalist Founder Building Resilient Products Carina Ayden, the founder of Unimaginable foods, shares her perspective on the sustainable lifestyle and becoming an environmentalist. 27. Our Code Is Harming The Planet, We Need Carbon Aware Design Patterns Our Code Is Harming The Planet. Can Carbon Aware Design Patterns Help Us Fix It? 28. Hacking the Asphalt Economy, an Infographic A look at the asphalt economy - the most recycled material on the planet. 29. Apple Co-Founder Steve Wozniak is Developing Energy Efficiency NFTs The Genesis NFTs are a resource for making the necessary energy efficiency upgrades to businesses as part of the Energy Efficiency NFT initiative. 30. Cloudflare Helps Reduce The Environmental Impact of Internet Carbon Emissions Cloudflare is releasing sustainable edge computing services and energy-efficient features to help build sustainability directly into your own applications. 31. Blockchain Application to Transform Supply Chains Towards Sustainability The self-updating and verifiable nature of the blockchain means that it can be useful in improving supply chains in an efficient and sustainable manner. 32. Why Sponsor Open Source Projects? Here's Five Simple Reasons Why sponsor open-source projects? How does your modest donation help the open-source ecosystem in making a better and sustainable problem-solving environment? 33. Introducing CloseKnit: Healthy Community For Neighbours Every good story starts at the beginning. I was five when the train jolted from standstill, slowly carrying my parents and me away from the crumbling USSR. Most of the people who I cared for in life stood outside, waving. In due time, I’ll get to see them all again — but I did not know that back then. 34. How to Solve Real Problems so that Great Products Build Themselves Natasha from hackernoon.com asks Product Strategist Dani Laity to unpack the sustainable tech product strategies and monetization models powering Aurora Sustainability—2020 Noonie Nominee in for Best Use of Tech for Good in hackernoon.com’s annual internet awards! 🚀 35. The Uprising of A Sustainable Ecosystem for the Circular Future Welcome to ÀLA.HAUSSE, The World's First Sustainable AI-Powered P2P Multifunctional Ecosystem, for Me and You. 36. An Opportunity for Clean Energy through the Ethereum Blockchain The energy industry is consistently catalyzed by innovations and is at present undergoing a double transformation- digitization is changing on the basis of value creation in this emergent sector and second, there is a smart energy transition towards renewables. 37. Female Entrepreneur Miki Agrawal Champions Global Sustainability Initiatives With TUSHY Miki Agrawal champions ongoing global sustainability and eco-friendly hygiene through her professional and personal life. 38. Can a Sustainable Business be Created on the Back of Sustainability? Starkman certainly walks the walk on sustainability, and it's best displayed in three ways, an internal belief, a dedication to people, and to planet 39. Sustainable Clothes Made From Recycled Plastic Fashion brands across the globe are striving to reduce the industry’s negative environmental impact by creating new clothing using only plastic materials. 40. People and Technology Can Restore the Planet It's hard to be optimistic when we are inundated by news of our rapidly deteriorating planet every single day. Sometimes it's hard to shake the feeling that everything is on fire, because some days it literally is. 41. Are Fish Robots Going to Save the Oceans? In this slogging thread, our community discusses the new robo-fish that comes to help us save the oceans from microplastic waste. 42. Top Sustainability Issues Plaguing the Tech World in 2020 Innovation is usually seen as the key to solving environmental problems, IoT and AI being at the core of sustainability roadmap. 43. Chinese Economy 2023: Back to Normal? China's economic and industry outlook for 2023. 44. AI for the Earth: Ushering in a Sustainability Revolution Does AI have the potential to save the planet and revert the existing global damages caused by industrialization? Let's find out. 45. Can Satellites Help Combat Global Warming? In this slogging thread, our technology channel took the chance to discuss this news about the possibility of satellites helping fight global warming. 46. How the Blockchain Can Help Us Build a More Sustainable World Learn from the masters and create a sustainable future powered by blockchain today for yourself and your organization. 47. As Pressure Mounts, Energy Companies Turn to 7 Key Technologies to Tackle Emissions As pressure mounts for corporations to reduce their environmental footprint, energy giants have ramped up investments into clean energy. 48. The Future of Bitcoin Network Will be Powered by Green Energy: Unhashed #11 Unhashed is a QnA series where I speak with top execs of new and established blockchain projects to unravel the mystery of blockchain & crypto. 49. The rise of “green” products only means we’re still adding up, albeit now without guilt In the modern aspiration economy, everything is done with intention- from what you wash your clothes with, to what you cook, to how you treat your skin. 50. Writing Proper Code Is Vital: Here's Why November of last year, OVO Energy sponsored a study finding that “If every Brit sent one less thank you email a day, we would save 16,433 tonnes of carbon a year — the same as 81,152 flights [from the UK] to Madrid.” 51. More Proof that Venture Capitalists Don’t Care About Diversity, Equity, or Inclusion Venture Capital is already known for being remarkably not diverse. Yet despite some investors being blasted for tone-deaf actions in June related to racial equity, most have not taken any lessons from the past, and fewer have updated their investment strategies to acknowledge their complicity in propagating inequality. 52. 'RecycleSmart is Uber for Waste Management,' says Marco, CTO and Founder Our Startup is called RecycleSmart and we are ‘Uber for Waste.‘ You book a pickup, prepare your (hard to recycle) waste, and we collect it and recycle. 53. The Rise of Sustainable Cities in Africa Over 55 percent of the world’s population lives in cities and, by 2050, that number is projected to rise to an astounding 68 percent. As people across the globe are increasingly moving to urban areas, there has been a corresponding rise in the awareness of the environmental impact of billions of people living on the planet. As people relocate, they are also examining the individual implications of their daily lives. 54. From Trash to Treasure: Unlocking the Potential of Trash to Cash Business Models The “Trash to Cash” business model is a concept where companies turn waste and unused items into valuable commodities that can generate revenue. 55. Sustainability in Ecommerce: What Are The Possibilities? Find out how to create a sustainable brand for your online business as well as the numerous possibilities that sustainable e-commerce offers businesses. 56. Everything You Need To Know About The Yearn.Finance Cryptocurrency (YFI) Data imbalance refers to when the classes in a dataset are not equally distributed, which can then lead to potential risks in training a model. 57. How to Choose a Sustainable Smartphone Our phones can be a source of joy, frustration but also e-waste. Here are some thoughts about what a more sustainable phone looks like. 58. Community Building Platforms: Reviewing Discourse, Discord, Ghost, and More Thoughts on how to integrate multiple systems, while building community and sustainable income. 59. Financial Products That Combine The Innovation and Purpose: The Choice of Conscious Consumers Consumers look for products that enable them to contribute to sustainability. Banks and fintech companies can address this need with innovation. 60. How the Environment is Paying for our Prime Day Discounts The Lightning Deal timer is ticking away. You're frantically scraping through hundreds of discounts. Finally, after a barrage of Prime deals and discounts, you find the one: a deeply discounted, 30% off Amazon Echo. 61. Why Business Owners Should Pay Attention to Sustainable Startups and Entrepreneurs Why sustainable startup initiatives are becoming more popular among younger investors and why business owners should take notice of this growing trend. 62. Recycling Spoiled Milk to Make Fashionable T-Shirts Mi Terro uses its very own reengineering technology to create milk fibers from spoiled milk. Potentially replacing the use of plastic in the fashion industry. 63. Hacking a Sustainable Future [Infographic] A look at how sustainability and eCommerce can go hand in hand. 64. 2020 Was The Year Electric Vehicles Truly Arrived 2020: Year of the EV Launch 65. MobileCoin is the World's First Carbon-Negative Cryptocurrency MobileCoin has a significantly smaller impact on our planet and uses far less energy compared to other cryptocurrencies. This is how... 66. Sustainability In Blockchain The environmental impact of the blockchain is not to be underestimated. Finding a way to make it more sustainable is an important task that needs to be done. 67. CO2 Has Never Smelt So Good: Making Perfume out of Carbon Emissions LanzaTech has coined the term carbon-negative to define the process of creating perfumes alongside Coty. 68. Connecting The Dots Between Blockchain and Sustainability Growing up in South Africa, the team at Wildcards witnessed first-hand the impact of poaching, pollution, poisoning and other forms of destructive human behavior leading to the extinction and endangerment of hundreds of animal species. 69. Art for good, but are NFTs the answer or part of the problem? Artists are taking to NFT platforms, but that causes a sustainability dilemma. Could a better mix of technology and circular economy be a better fit? 70. GHG-Removal Could Be the Biggest Market of the 21st Century GHG-removal is a $10trln annual market opportunity that is yet to be tapped by new investors, innovators and entrepreneurs. 71. Towards Sustainable Sneakers: 1 Pair of Sneakers Emits 13 kg of CO2 Did you know each pair of sneakers emits 13 kg of CO2? That’s equivalent to keeping your lights on for one week straight! 72. Building a Sustainable and Value-driven Crypto Ecosystem Short dive into what must be done for crypto so survive. 73. Our Guide for Unmaintained Open Source Projects There are some really great guides for starting a new open source projects, yet when it comes to dealing with a possibly abandoned, unmaintained project, there is no definitive guide for users, contributors, or maintainers. 74. Adidas FutureCraft: Toward Sustainable Shoes Sportswear brand Adidas has just announced the release of their newest running shoe made from recycled material. 75. What Retailers Can Do with Excessive Inventory Pile Up from the Pandemic Are retailers focusing on sustainable options to move excessive inventory? 76. How Blockchain Technology Improves Environmental Sustainability We are seeing blockchain reach a wider breadth of applications than it seems at first glance. That includes its role in increasing sustainability. 77. How Can Technology be Sustainable? We live in a world where tech waste and climate change are a reality. In this slogging thread, we couldn't help but wonder how can technology be sustainable. 78. Shelf Edge Technology: Digital Price Tags Using Renewable Energy Sustainable, cost-effective, and consumer-friendly: digital price tags are entering the fashion industry through shelf-edge technology. 79. Blockchain Tech in the Fashion Industry: Transparency, Traceability, and Efficiency Blockchain technology gives us essential knowledge and provides an insight into the fashion supply chain. 80. Novel Solutions for Inclusive Digital Currencies An efficient, interoperable, scalable, and quantum encrypted CBDC solution for sovereign monetary systems of the future, possible today. 81. 6 most Eco-friendly Cryptocurrencies in 2021 Crypto is still in its early stage, it's a bit eccentric, very economic, educational, effective, efficient, elaborate, enthralling even. But is it eco-friendly? 82. Three Effective Strategies to Collectively Alter Our Carbon Footprint Our current efforts to solve climate change suck and also don’t suck enough. In this piece I have collated some research on sucking carbon out of the air, carbon pricing, Australia’s current renewable plans and carbon consumption habits. 83. 7 Ways to Promote Sustainability in the Workplace We want to work, live, and play in a way that isn’t going to cost us the planet and, where possible, can potentially restore nature to what it once was. 84. Introducing The Triple Layer Business Model Canvas The Business Model Canvas is a great tool for entrepreneurs, yet one that is not without flaws. 85. Argentina’s Steady And Visionary Path To Space Is An Inspiring Tale Which path is required for us to reach new worlds? Argentina’s history in the space industry shows an unwavering course of perseverance and resilience. 86. Discovering Web3 Gaming with Long Do and Laura Cullell In this exciting AMA, we're joined by Long Do and Laura Cullell from Anomura, an NFT pixel art play-and-earn gaming experience. Thank you for checking out the 86 most read stories about Sustainability on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

86 Stories To Learn About Sustainability

It’s estimated that millennials average in a role and Gen Xers average five years and two months. two years and nine months Additional data has identified that when it comes to Gen Z, . 33% spend two years or less at a job And when you realize that (the feeling of starting a new job and instantly regretting it) it’s easy to see why 80% of workers believe it is acceptable to leave a job within a year if it’s not working out. 72% of new starters have experienced “Shift Shock” While the vast majority of hiring managers have accepted that jobs for life are a thing of the past, job hopping every couple of years is still frowned upon, with . 77% of hiring managers stipulating that short tenures on a resume is top concern So, how can you ensure your resume reflects this and not a litany of positions in your work experience section? Replacing staff is a headache for HR professionals and internal recruiters but the flip side is that job hoppers can bring a diverse set of skills and experience and if you have found yourself switching roles every couple of years, you’ve probably gleaned more insight into different ways of working than a professional peer that has stayed put in the same position. For starters, focus on your skill set and highlight what you learned at each job. Did you get the opportunity to hone your soft skills? Or perhaps you joined a startup and were an integral team member during a high-growth phase that required you to show leadership. Weaving the positives you took from every position into your resume will allow hiring managers to see that your tendency to switch jobs isn’t a reflection of a poor work ethic or inability to focus on long-term goals. Most importantly, don’t be tempted to leave an unexplained gap on your resume if you only worked in a job for a couple of months before jumping ship. Leaving a job without having another one lined up isn’t a red flag but . 49% of HR professionals and employers say that job seekers who have taken a break in their careers should be ‘prepared to explain’ why Looking for your next challenge or a job that will put your career on the right track? The is the ideal place to start your search as it features thousands of jobs in companies that are actively hiring, including the three below. Hackernoon Job Board Workflow Software Project Manager, UBEO, LLC, Charlotte UBEO Business Services, a provider of business technology products and services, is seeking to hire a __ to join its team. In this role you will be responsible for managing projects that focus on document and data workflows for customers. This position requires managing projects that convert technical knowledge into action utilizing technology to accomplish the goals of customers. This will entail managing technology projects for customers by managing the cost, time, scope constraints, and facilitating great communication. __ . Workflow Software Project Manager Access additional details here Embedded Developer, Capgemini, Ann Arbor Capgemini Engineering is an integral part of the Capgemini Group and is guided by its purpose of unleashing human energy through technology for an inclusive and sustainable future. As an __ you will write embedded “C” code for CAN/CANFD development, work on all AUTOSAR layers: Application(Creating SWCs), BSW and RTE  and develop C code for diagnostics using ISO14229 standard. You will also develop and update the linker file, memory partitioning for ASIL A/B/C/D safety. __ . Embedded Developer Get more information here Salesforce Developer, Booz Allen Hamilton, Washington As a , you will work closely with other developers, product owners, test engineers, and architects to ensure the timely and effective delivery of Salesforce requirements in a variety of industry contexts. You'll work in all aspects of the Salesforce development life cycle, including configuration, customization, and implementation of applications and third party integrations. You’ll also serve as an advisor to clients and provide consultative guidance regarding how they might adopt new technologies or add new features to support the mission. . Salesforce Developer See the full job description here Accelerate your career in tech via the Hackernoon Job Board **By Aoibhinn Mc Bride

77% Of Hiring Managers Say Job Hopping Is A Red Flag

নিয়োগকারী পরিচালকদের 77% বলেছেন যে জব হপিং একটি লাল পতাকা

77 % der Personalmanager sagen, Job-Hopping sei ein Warnsignal

El 77% de los gerentes de contratación dicen que cambiar de trabajo es una señal de alerta

77 % des responsables du recrutement déclarent que changer d'emploi est un signal d'alarme

77% नियुक्ति प्रबंधकों का कहना है कि नौकरी छूटना एक खतरे का संकेत है

採用担当者の77%が転職は危険信号だと回答

채용 관리자의 77%는 이직이 위험 신호라고 말합니다.

77% dos gerentes de contratação dizem que a mudança de emprego é um sinal de alerta

77% менеджеров по найму говорят, что смена работы — это красный флаг

İşe Alma Yöneticilerinin %77'si İş Atlamanın Tehlike İşareti Olduğunu Söylüyor

77% nhà quản lý tuyển dụng cho rằng nhảy việc là một dấu hiệu nguy hiểm

77% 的招聘经理表示跳槽是一个危险信号

Let's learn about via these 47 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Manufacturing /Learn Repo 1. Industry 5.0 and the Future of Manufacturing Industry 5.0 will center around a tailored and customized approach for the consumer while pushing more towards sustainability. 2. The 3 Additive Manufacturing Challenges to Overcome Additive manufacturing or AM is currently at the forefront of some dramatic global industrial changes, with great opportunities to take regular metal, plastic, ceramics, etc. and build any 3D objects you wish out of it. CNC manufacturing and 3D printing are in the spotlight for all progressive businesses out there, covering aerospace and car production, healthcare and energy niches, among many others. These advanced tech concepts keep on showing a formidable value for all kinds of productions. 3. Building Robots for Smarter Cities: How the Manufacturing Process is Everything Hardware is seeing a resurgence and exponential innovation similar to the software boom a decade ago. And as a robotic delivery company founded in 2017, we have been navigating the manufacturing world and hardware revolution, picking up product design and smart tips along the way. 4. 5 Real-World Examples That Prove That Business Intelligence Really Works Discover real examples of implementing business intelligence technology in companies such as Coca-Cola, BBK and more. Find out how to get started! 5. Replacing Manual Labor With Robotics Manufacturing Lines Let's look into some case studies to find out should our manufacturing lines stay manual, or be automated. 6. Manufacturing Robotization: Drivers and Barriers By 2035, in the leading industrial robotics countries, factory productivity will grow by 40% and gross value added will double. 7. How Pandemic Problem Motivates AI Developers To Help Manufacturing Industries The global pandemic has persuaded a number of manufacturers to pursue an AI-driven transformation of their operations, according to studies by Cap Gemini and the Boston Consulting Group. What has been noticed is the way in which they are combining human experience and insight with AI tools to find ways to differentiate themselves from their competitors, as well as drive down costs and protect their profit margin. So, what are the most popular ways of using AI in manufacturing industries? 8. 5 Manufacturing Problems Solved By Automation Any chance to alleviate the burdens of manufacturing and supply chain workers should happen, and many of these modern opportunities happen with automation. 9. How Manufacturers Can Use Real-Time Data to Form Contingency Plans During Pandemics The global outbreak of the latest Coronavirus (COVID-19) at the beginning of this year caught many businesses and governments off guard. The global pandemic which to date has claimed the lives of over 347,106 people globally had brought businesses to a complete halt. 10. The five-stage maturity model for achieving Industry 4.0 transformation in manufacturing Use this five-stage maturity framework to validate, benchmark, and map your company’s progress toward digital maturity and leadership. 11. Startup Interview with Doug Brouse, Equispheres'  VP Strategic Partners & Alliances Equispheres produces high-performance metal powders for additive manufacturing that will shake up production in the automotive, aerospace, and defense sectors. 12. Cloud Manufacturing Paradigm: The Capabilities are Now Becoming Clear The UK’s Best New Tech company, according to the British Chamber of Commerce, is Fractory, a cloud-based sheet metal fabrication platform based in Manchester, UK. 13. Five Successful AI and ML Use Cases In Manufacturing How can manufacturers put artificial intelligence to work in the industry? In this article, you will find five possible applications of Machine learning and Deep learning to industrial processes optimization. 14. Your Story Matters More Than Your Traction: Jiga's Adar Hay On Fundraising Adar Hay is a co-founder of Jiga, a Startup Of The Year nominee, and shares with us the origin story of Jiga, as well as their startup and fundraising lessons. 15. Hannover Messe Shows What The 4th Industrial Revolution Could Look Like It is arguably the largest industrial fair in the world today. The first edition was organized in 1947 after the Second World War, with an aim to revitalize the war-torn nation’s declining economy. 16. Implementation of Mobile Robots for an Autonomous Scalable Smart Factory Autonomous mobile robots for assembly factories as a databus for computers. Creating advanced eco-system using modular architecture and AI-driven factory OS 17. Love, Death & Industrial Robots By 2022 the number of operational industrial robots worldwide is expected to surpass the population of Berlin. Nowadays in our factories, flexible cobots work hand in hand with people and machine learning is helping them to become even more versatile. It is very fascinating to follow the developments of the fast-paced automation industry. 18. Automotive Industry Revolution: How BMW Leverages AR & VR in Car Production The main indicators of car competitiveness are price, quality, technical specifications, design, operating costs, and safety. In order to increase the competitiveness of automobiles, it is necessary to improve product development methods, introduce new design technologies, use computer capabilities, and mathematical modeling in all aspects of experimental design work. But the central aspect is to follow the latest technology trends. Important tools, such as AR and VR, are already widely used in the automotive industry. 19. Machine Vision Technology in Production: Use Cases We at TaQadam produce different computer vision technologies. In this blog we tell about using machine vision in production for some common use-cases. 20. Is COVID-19 A Blessing In Disguise For The Manufacturing Sector? Before COVID-19 stopped us dead on our tracks, businesses all around the globe already had enough problems to deal with. 21. Do You Know Robots? There are several types of robots used to automate production. 22. Tesla Plans to Expand Onshore Manufacturing to Capitalize on IRA Energy Tax Credits Leveraging advanced manufacturing production credits and consumer incentives appear to be a key element in its business strategy for the upcoming year. 23. Equispheres Recognized as HackerNoon's Startup of the Year in Ottawa HackerNoon recognizes Equispheres as the winner of Startups of the Year for Ottawa. 24. An Introduction to Hacking Industry 4.0 Since 2011, we have been undergoing the Fourth Industrial Revolution, which is commonly shortened to Industry 4.0. Set to shape the future, Industry 4.0 is enhancing interconnectivity around the globe. As a result, it's likely our future will consist of automation and optimized manufacturing. However, data intelligence may provide a way for businesses to stay ahead. 25. I Outsourced Label Manufacturing To Jump Start My eCommerce Business Private label manufacturers can be a game-changer for any e-commerce business.  We're discussing how they help and how to work with them. 26. On-Demand Manufacturing: Key Foundations To Succeed At It In 2021 We are living in an on-demand world, where your pullover, sofa, or even house can be created on-demand, not mass-produced. This is great for customers, as it enables them to express their personalities by purchasing commodities that uniquely reflect their tastes. On-demand manufacturing is also great for smaller retailers, who can cater to the demands of their customers. This model can give them an advantage over large industrial manufacturers, who are quite satisfied with their dominating position in traditional mass-production models. 27. Major Challenges of 3D Printing for Corporations Additive manufacturing is an alternative production technology which allows for a layer-by-layer creation of more durable, lighter and stronger objects. It promises a revolution for companies across industries. However, like all major changes and opportunities, it also comes with several challenges. 28. The Digital Restoration of Our Lives The Fourth Industrial Revolution is key to getting the global economy, and our lives, back on track 29. 3D Technology: Explore to Know How It Benefited Businesses Technology has drastically changed the landscape of every business sector these days. Most of the things are revolving around avoidance technology like big data analytics, machine learning, artificial intelligence, and many others. And now, it seems that 3D technology is here to create a massive buzz in the world today. This modern technology promises to open and provide an end number of opportunities for entrepreneurs to establish their branches in advanced industries. 30. The Future Of Manufacturing And Automation Innovation is a consistently advancing field, continually blending in new emphases and developments to make energizing new open doors for the present makers to rethink their tasks. In certain cases, new advances open the entryway for dynamic makers to discharge genuinely creative contributions of their own. In the present and future time innovation is going to assume a significant job in human life. Most of the present day students are doing various researches and trying to innovate any device that suite for everyone. As robots and machines are currently being presented in the industry, there are many innovations in progress. Also, these things have decreased human commitment in function, as a result, lessening slip-ups or blunders, which brings about better profitability and great quality work. 31. Ajax Interacting With Security Systems Champion: Type 5 Certification Scheme Type 5 Certification Scheme is the most ruthless quality control in the security industry. Learn how Ajax smart wireless alarm goes through it 32. Evolve and get a Better Bottom Line Read more about digital transformation and the increased pressure to update IT systems and legacy applications. 33. How Computer Vision is Taking Over Manufacturing and Retail AI continues to take over almost every industry ripe with data. Computer vision expands AI’s capabilities, allowing machines to not only process data, but also gather information on their own, which unlocks completely new opportunities for businesses. According to research by ABI, total shipments of computer vision sensors and cameras will reach 16.9 million by 2025. 34. Product Configuration: The Future of eCommerce [Infographic] A look behind the technology that powers product configuration for ecommerce. 35. Industry 4.0’s Ultimate Impact on Manufacturing Business The Fourth Industrial Revolution, more popularly coined as Industry 4.0, is brought upon us by restlessly growing volumes of data and all-consuming automation. These are the major modern IT tendencies that cover absolutely any type of business. The ultimate impact of Industry 4.0 is especially focused on the manufacturing sector. 36. The Industrial Shift Towards In-House Prototyping and Design via Additive Manufacturing The adaption of 3D Printing has allowed for innovation in manufacturing that renders several benefits that I will get to in this article. Additive manufacturin 37. Manufacturing Automation: What Processes You Should Automate in 2020 to Get More Efficiency The modern world is bombarded with the flow of advanced technologies. Cloud and quantum computing, Internet of Things, AI, 3D printing, and a plethora of other technologies ushered by the Fourth Industrial Revolution quickly change the usual way we perceive high technology and promise unfathomable horizons of opportunities. 38. The Top 10 Digital Transformation Trends in Manufacturing for 2022 Here are 10 emerging digital transformation trends in manufacturing that you should know about in 2022 and beyond, so you can stay ahead of the competition. 39. Can Manufacturers Use AR To Improve Supply Chain Efficiency? As the manufacturing industry evolves, learn how augmented reality can improve supply chain efficiency and staff training. 40. 3 Factors To Consider When Evaluating Private Label Manufacturers In this article, we’ll cover the three areas to focus on when choosing a private label manufacturer to work with. They are Communication, Testimonies & Pricing. 41. Trends Shaping the Future of Electronics Manufacturing We discuss the seven most popular trends you need to remember over the past year. 42. How to Make a Cost-effective Flexible Robotic Solution for Low-volume Production How modular architecture and AI software helped us to create a cheap, efficient robotic solution for short production. 43. How to Best Take Your Chinese DTC Brand to American Buyers You might have heard that the San Francisco-Based Rothy’s direct-to-consumer (DTC) shoe company launched sales in Shanghai earlier this year. Rothy’s expansion to China is a brilliant business move, as they’re one US brand that has a huge potential for success with Chinese buyers. 44. Smart Manufacturing: Why Lamborghini, Adidas & Amazon are Adopting It The manufacturing industry enjoys a rich history of technological evolution. It is also one of the top industries with the highest investment in technology and specifically IoT. As per a Marketsandmarkets report, the global IoT in manufacturing market size is expected to grow from USD 33.2 billion in 2020 to USD 53.8 billion in 2025, at a CAGR of 10.1% in the given period. Technological innovations have transformed various industries, sectors, and companies right from accelerating production, product development, software integrations, improving CX, and more. 45. The Key Differences Between Consumer and Industrial Hardware Development The term “industrial electronics” refers to any electrical equipment or system used for manufacturing goods or participating in this process indirectly. 46. The World of 3D Printing: Alchemy of Additive Manufacturing 47. An Introduction to High Speed Printed Circuit Boards (PCB) A high speed printed circuit board design provides the transmission of signals at high speeds. It's a device that transfers data at very high speeds. Thank you for checking out the 47 most read stories about Manufacturing on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

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