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.

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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 ...

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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.

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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

The fintech ecosystem is accelerating at such a rapid pace that only the ongoing artificial intelligence boom has been capable of stealing investor attention away from the sprawling financial technology space. According to McKinsey research, the fintech industry’s revenues are expected to grow nearly three times faster than the traditional banking sector between 2022 and 2028. Additionally, the potential 15% revenue growth of the fintech industry over the next five years could significantly outpace the 6% anticipated for the traditional banking sector. Editor’s note: This article is for informational purposes only and does not constitute investment advice. Stock trading is speculative, complex, and involves high risks. This can mean high prices volatility and potential loss of your initial investment. You should consider your financial situation, investment purposes, and consult with a financial advisor before making any investment decisions. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not endorse or guarantee the accuracy, reliability, or completeness of the information stated in this article. #DYOR These figures suggest that fintech is on course to become a dominant player throughout the world of finance over the coming years, and we can already see evidence of wholesale changes occurring in real time. 2025 is set to be a key year in the growth of the fintech landscape. According to Capgemini’s World Payment Report 2025, digital wallets are not only the fastest-growing alternative to card payments today, but they’re forecasted to handle 61% of total eCommerce payments and 46% of in-store payments by 2027. Digital transactions rallied from a total of $802 billion in 2023 to an estimated $929.8 billion in 2024, making 2025 a prime candidate to surpass $1 trillion for the first time. These fintech trends are set to resonate strongly on Wall Street, and we could see some of the sector’s most innovative stocks rally off the back of market growth throughout the year ahead. With this in mind, let’s take a look at three high-potential fintech stocks for investors to pick up in 2025: 1. PayPal (NASDAQ: PYPL) It’s impossible to consider the brightest fintech stocks on Wall Street without looking to PayPal (NASDAQ: PYPL). The market leader has more than 25 years of experience in the sector and operates a leading payments platform that benefits both merchants and consumers. With around 432 million users, PayPal’s market share makes the stock a formidable player in an industry that’s populated by so many startups vying for attention. In 2024, PayPal’s stock rallied more than 44%, and its innovation pipeline and strong usage figures are set to push the company higher amid a wider fintech market rally. Crucially, last year saw PayPal launch Ad Business, an innovative new service that empowers advertisers to tap into the firm’s masses of data on user payment transaction data across its platforms. This extra revenue stream plus PayPal’s utility of generative AI tools in recent months to boost support for the creation of large-language models (LLMs) within its growing Cosmos.ai platform highlights a firm that’s focused on growth. Of course, the rise of rivals like Apple Pay, Cash App, Square, and Adyen can all threaten PayPal’s dominance in the future, but if it continues to protect its market share, PYPL will be a stock that deserves attention in 2025. 2. SoFi Technologies (NASDAQ: SOFI) SoFi’s (NASDAQ: SOFI) rapid growth has propelled the firm into a high-potential prospect for the fintech industry. With growth of 94.4% in 2024, SoFi emerged as one of the stars of Wall Street last year, and looking at the open banking firm’s acquisition rates, it’s easy to see why. In 2020, the lending, investing, saving, loan refinancing, and real estate planning platform had over 1 million members. Today, SoFi has more than 10 million, representing an astonishing rate of growth in a relatively short period. For the third quarter of 2024, SoFi reported record adjusted net revenue growth of 30% to $697.1 million and a 64% combined growth in financial services and tech platform segments. SoFi Technologies has also shown a strong pedigree in its commitment to embracing artificial intelligence, and the implementation of AI features like transactional fraud detection and improved payment efficiency point to a company that’s ready to scale further in 2025. 3. Sezzle (NASDAQ: SEZL) With a market capitalization of around $1.5 billion, Sezzle (NASDAQ: SEZL) is a fintech platform that’s ripe for growth in the year ahead. Launched in 2016 as a buy now pay later (BNPL) startup, the digital payment platform has excelled in providing consumers with flexible payment options for their purchases. Achieving its first quarter of profitability in November 2022, Sezzle has an estimated 529,000 active subscribers and has generated $8.1 billion in merchant sales since its launch alongside 15 million completed sign-ups. The stock went public in August 2023, and in its first calendar year of public trading in 2024 SEZL rallied more than 1,250%. Sezzle’s Q3 2024 earnings showed impressive revenue growth of 71.3% year-over-year to $70.0 million, underlining 2024’s role as a breakout year for the stock. If it can nurture its increasing flows of custom, last year’s performance could be a springboard for future outperformance as the cost-of-living could see more US consumers turning to BNPL to manage their finances. Future-Proofing Your Portfolio The sustained rise of fintech stocks is showing no signs of slowing and could be an excellent option for investors seeking to support their portfolios with strong growth stocks from the finance technology sector. As an industry that’s rapidly embracing new innovations, the fintech landscape can change at a rapid pace, so it’s important to constantly audit your holdings to ensure that your chosen stocks still possess the fundamentals to ride the sector’s boom period without any nasty surprises in the future. The fintech ecosystem is accelerating at such a rapid pace that only the ongoing artificial intelligence boom has been capable of stealing investor attention away from the sprawling financial technology space. The fintech ecosystem According to McKinsey research, the fintech industry’s revenues are expected to grow nearly three times faster than the traditional banking sector between 2022 and 2028. Additionally, the potential 15% revenue growth of the fintech industry over the next five years could significantly outpace the 6% anticipated for the traditional banking sector. Editor’s note: This article is for informational purposes only and does not constitute investment advice. Stock trading is speculative, complex, and involves high risks. This can mean high prices volatility and potential loss of your initial investment. You should consider your financial situation, investment purposes, and consult with a financial advisor before making any investment decisions. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not endorse or guarantee the accuracy, reliability, or completeness of the information stated in this article. #DYOR Editor’s note: This article is for informational purposes only and does not constitute investment advice. Stock trading is speculative, complex, and involves high risks. This can mean high prices volatility and potential loss of your initial investment. You should consider your financial situation, investment purposes, and consult with a financial advisor before making any investment decisions. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not endorse or guarantee the accuracy, reliability, or completeness of the information stated in this article. #DYOR Editor’s note: This article is for informational purposes only and does not constitute investment advice. Stock trading is speculative, complex, and involves high risks. This can mean high prices volatility and potential loss of your initial investment. You should consider your financial situation, investment purposes, and consult with a financial advisor before making any investment decisions. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not endorse or guarantee the accuracy, reliability, or completeness of the information stated in this article. #DYOR These figures suggest that fintech is on course to become a dominant player throughout the world of finance over the coming years, and we can already see evidence of wholesale changes occurring in real time. 2025 is set to be a key year in the growth of the fintech landscape. According to Capgemini’s World Payment Report 2025, digital wallets are not only the fastest-growing alternative to card payments today, but they’re forecasted to handle 61% of total eCommerce payments and 46% of in-store payments by 2027. Digital transactions rallied from a total of $802 billion in 2023 to an estimated $929.8 billion in 2024, making 2025 a prime candidate to surpass $1 trillion for the first time. These fintech trends are set to resonate strongly on Wall Street, and we could see some of the sector’s most innovative stocks rally off the back of market growth throughout the year ahead. With this in mind, let’s take a look at three high-potential fintech stocks for investors to pick up in 2025: 1. PayPal (NASDAQ: PYPL) It’s impossible to consider the brightest fintech stocks on Wall Street without looking to PayPal (NASDAQ: PYPL). The market leader has more than 25 years of experience in the sector and operates a leading payments platform that benefits both merchants and consumers. With around 432 million users, PayPal’s market share makes the stock a formidable player in an industry that’s populated by so many startups vying for attention. PayPal’s In 2024, PayPal’s stock rallied more than 44%, and its innovation pipeline and strong usage figures are set to push the company higher amid a wider fintech market rally. Crucially, last year saw PayPal launch Ad Business, an innovative new service that empowers advertisers to tap into the firm’s masses of data on user payment transaction data across its platforms. This extra revenue stream plus PayPal’s utility of generative AI tools in recent months to boost support for the creation of large-language models (LLMs) within its growing Cosmos.ai platform highlights a firm that’s focused on growth. generative AI Of course, the rise of rivals like Apple Pay, Cash App, Square, and Adyen can all threaten PayPal’s dominance in the future, but if it continues to protect its market share, PYPL will be a stock that deserves attention in 2025. 2. SoFi Technologies (NASDAQ: SOFI) SoFi’s (NASDAQ: SOFI) rapid growth has propelled the firm into a high-potential prospect for the fintech industry. With growth of 94.4% in 2024, SoFi emerged as one of the stars of Wall Street last year, and looking at the open banking firm’s acquisition rates, it’s easy to see why. In 2020, the lending, investing, saving, loan refinancing, and real estate planning platform had over 1 million members. Today, SoFi has more than 10 million, representing an astonishing rate of growth in a relatively short period. For the third quarter of 2024, SoFi reported record adjusted net revenue growth of 30% to $697.1 million and a 64% combined growth in financial services and tech platform segments. net revenue growth of 30% net revenue growth of 30% SoFi Technologies has also shown a strong pedigree in its commitment to embracing artificial intelligence, and the implementation of AI features like transactional fraud detection and improved payment efficiency point to a company that’s ready to scale further in 2025. 3. Sezzle (NASDAQ: SEZL) With a market capitalization of around $1.5 billion, Sezzle (NASDAQ: SEZL) is a fintech platform that’s ripe for growth in the year ahead. Launched in 2016 as a buy now pay later (BNPL) startup, the digital payment platform has excelled in providing consumers with flexible payment options for their purchases. Achieving its first quarter of profitability in November 2022, Sezzle has an estimated 529,000 active subscribers and has generated $8.1 billion in merchant sales since its launch alongside 15 million completed sign-ups. The stock went public in August 2023, and in its first calendar year of public trading in 2024 SEZL rallied more than 1,250%. Sezzle’s Q3 2024 earnings showed impressive revenue growth of 71.3% year-over-year to $70.0 million, underlining 2024’s role as a breakout year for the stock. If it can nurture its increasing flows of custom, last year’s performance could be a springboard for future outperformance as the cost-of-living could see more US consumers turning to BNPL to manage their finances. 71.3% year-over-year 71.3% year-over-year Future-Proofing Your Portfolio The sustained rise of fintech stocks is showing no signs of slowing and could be an excellent option for investors seeking to support their portfolios with strong growth stocks from the finance technology sector. As an industry that’s rapidly embracing new innovations, the fintech landscape can change at a rapid pace, so it’s important to constantly audit your holdings to ensure that your chosen stocks still possess the fundamentals to ride the sector’s boom period without any nasty surprises in the future.

These 3 Fintech Stocks Are Set to Take Wall Street by Storm in 2025

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Digital wallets appear set to cement their position as the decade’s fastest-growing fintech innovationby becoming the world’s favorite payment option in the years ahead. With a strong innovation pipeline, the functionality can become a powerful tool for consumers on a global scale. According to Capgemini’s World Payment Report 2025 data, which was comprised of insights from 200 payment executives throughout different markets, digital wallets are not only the fastest-growing alternative to card payments but are forecasted to attain 61% of the total eCommerce payments and 46% of in-store purchases by 2027. This would pave the way for digital wallets to become the dominant choice of payment for consumers and opens the door to countless digital transformation integrations throughout the fintech sector. The future is now, according to transaction metrics. Digital transactions are expected to rally to $929.8 billion in 2024, representing a seismic jump from the $802 billion recorded in 2023. The emergence of digital wallets as a driving force in leveraging transactions both in online and offline environments can carry significant ramifications for the fintech boom and how individuals embrace open banking around the world. With this in mind, let’s explore the rise of digital wallets on a global scale and their implications for fintech: Digital Transformation at Scale According to Pietro Candela, EMEA General Manager for Alipay+, the number of mobile wallets in use around the world will accelerate to 4.8 billion by 2025, representing more than half of the world’s population. Much of this growth has been experienced in Asia-Pacific nations like China and India, which have seen adoption rates climb higher thanks to the mass use of Alipay and WeChat Pay regionally. In Western economies, the United Kingdom is currently outpacing the United States for digital wallet usage, with one in three adults using mobile payments like Apple Pay and Google Pay for transactions. However, many of the benefits of digital wallets will be felt in regions like Africa and Latin America, which are poised for rapid growth in adoption thanks to the technology helping to meet the challenge of serving underbanked populations. We’re already seeing leading banks looking to utilize digital wallets to build more financial inclusivity around the world. Mastercard Pay Local was launched in November 2024 in a bid to help cardholders link their credit or debit cards to a local digital wallet, helping to leverage transactions at merchants with ease or top-up prepaid accounts. This technology can be expanded into open banking platforms to help individuals from anywhere in the world integrate their access to banks to make essential purchases with ease. In the Asia-Pacific region alone, Mastercard Pay Local has the power to facilitate payments for consumers at over 35 million merchants while opening the door to the prospect of making purchases at micro, small, and medium enterprises (MSMEs) that don’t accept traditional card payments. It’s this level of accessibility that can help more consumers and businesses operate in areas where financial inclusivity is posing a challenge. Powering Up Open Banking Frameworks Digital wallets are already a key component of open banking, which will continue to grow in adoption over the coming years. Although open banking tools have been slower in their uptake in comparison to digital wallets, Kristaps Zips, UK CEO of Payabl, believes that the emergence of Variable Recurring Payments (VRPs) will be a breakthrough use case that drives more sustained levels of adoption. Given that VRPs have the potential to seamlessly integrate subscriptions, buy-now-pay-later (BNPL), borrowing tools, and other decentralized finance (DeFi) services into transactions for customers, it may serve as a key development in showcasing the convenience of open banking. At its core, digital wallets can help to provide more reliable access to open banking tools for users around the world, and its ability to offer greater control over spending and powerful insights driven by AI and machine learning will pave the way for far greater financial literacy in the future. However, while the technology is rapidly growing, trust issues and privacy concerns threaten to slow its adoption rates. This may mean that the emergence of open banking will be down to the pursuit of greater regulatory confidence, rather than the power of the digital wallets that can improve accessibility. Charting a Collaborative Future As digital wallets evolve to become the world’s favorite means of making payments both online and offline, it’s clear that a collaborative future is required to help the technology overcome the regulatory hurdles that could stunt its growing use cases. Collaboration between governments, financial institutions, tech leaders, and standards organizations will be required to develop a unified approach based on conducive guidelines and standards. With the goal of financial inclusivity on a global scale, the rewards are too high to ignore for the financial sector. The coming years will see open banking improve the lives of countless users, and digital wallets will be the cornerstone on which the revolutionary technology will be built. Digital wallets appear set to cement their position as the decade’s fastest-growing fintech innovation by becoming the world’s favorite payment option in the years ahead. With a strong innovation pipeline, the functionality can become a powerful tool for consumers on a global scale. fintech innovation According to Capgemini’s World Payment Report 2025 data, which was comprised of insights from 200 payment executives throughout different markets, digital wallets are not only the fastest-growing alternative to card payments but are forecasted to attain 61% of the total eCommerce payments and 46% of in-store purchases by 2027. World Payment Report 2025 World Payment Report 2025 This would pave the way for digital wallets to become the dominant choice of payment for consumers and opens the door to countless digital transformation integrations throughout the fintech sector. digital wallets The future is now, according to transaction metrics. Digital transactions are expected to rally to $929.8 billion in 2024, representing a seismic jump from the $802 billion recorded in 2023. The emergence of digital wallets as a driving force in leveraging transactions both in online and offline environments can carry significant ramifications for the fintech boom and how individuals embrace open banking around the world. With this in mind, let’s explore the rise of digital wallets on a global scale and their implications for fintech: Digital Transformation at Scale According to Pietro Candela, EMEA General Manager for Alipay+, the number of mobile wallets in use around the world will accelerate to 4.8 billion by 2025, representing more than half of the world’s population. Much of this growth has been experienced in Asia-Pacific nations like China and India, which have seen adoption rates climb higher thanks to the mass use of Alipay and WeChat Pay regionally. In Western economies, the United Kingdom is currently outpacing the United States for digital wallet usage, with one in three adults using mobile payments like Apple Pay and Google Pay for transactions. However, many of the benefits of digital wallets will be felt in regions like Africa and Latin America, which are poised for rapid growth in adoption thanks to the technology helping to meet the challenge of serving underbanked populations. We’re already seeing leading banks looking to utilize digital wallets to build more financial inclusivity around the world. Mastercard Pay Local was launched in November 2024 in a bid to help cardholders link their credit or debit cards to a local digital wallet, helping to leverage transactions at merchants with ease or top-up prepaid accounts. This technology can be expanded into open banking platforms to help individuals from anywhere in the world integrate their access to banks to make essential purchases with ease. In the Asia-Pacific region alone, Mastercard Pay Local has the power to facilitate payments for consumers at over 35 million merchants while opening the door to the prospect of making purchases at micro, small, and medium enterprises (MSMEs) that don’t accept traditional card payments. It’s this level of accessibility that can help more consumers and businesses operate in areas where financial inclusivity is posing a challenge. Powering Up Open Banking Frameworks Digital wallets are already a key component of open banking , which will continue to grow in adoption over the coming years. Although open banking tools have been slower in their uptake in comparison to digital wallets, Kristaps Zips, UK CEO of Payabl, believes that the emergence of Variable Recurring Payments (VRPs) will be a breakthrough use case that drives more sustained levels of adoption. open banking Given that VRPs have the potential to seamlessly integrate subscriptions, buy-now-pay-later (BNPL), borrowing tools, and other decentralized finance (DeFi) services into transactions for customers, it may serve as a key development in showcasing the convenience of open banking. At its core, digital wallets can help to provide more reliable access to open banking tools for users around the world, and its ability to offer greater control over spending and powerful insights driven by AI and machine learning will pave the way for far greater financial literacy in the future. However, while the technology is rapidly growing, trust issues and privacy concerns threaten to slow its adoption rates. This may mean that the emergence of open banking will be down to the pursuit of greater regulatory confidence, rather than the power of the digital wallets that can improve accessibility. emergence of open banking Charting a Collaborative Future As digital wallets evolve to become the world’s favorite means of making payments both online and offline, it’s clear that a collaborative future is required to help the technology overcome the regulatory hurdles that could stunt its growing use cases. Collaboration between governments, financial institutions, tech leaders, and standards organizations will be required to develop a unified approach based on conducive guidelines and standards. With the goal of financial inclusivity on a global scale, the rewards are too high to ignore for the financial sector. The coming years will see open banking improve the lives of countless users, and digital wallets will be the cornerstone on which the revolutionary technology will be built.

Digital Wallets On Track to Become Fastest-growing Fintech Innovation

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.

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