Alphabet, Palo Alto Networks, Dell Technologies, CrowdStrike, Motorola Solutions, Fortinet, and Emerson Electric are the seven Cybersecurity stocks to watch today, according to MarketBeat's stock screener tool. Cybersecurity stocks refer to publicly traded companies that are involved in developing,

Top Cybersecurity Stocks Worth Watching - February 15th

Dell Technologies is nearing a deal worth more than $5 billion to provide Elon Musk's xAI with servers optimized for artificial intelligence work, Bloomberg News reported on Friday, citing people familiar with the matter. Shares of the server maker gained 4% after the report.

Dell nears deal to sell $5 billion in AI servers to xAI, Bloomberg News reports

Alphabet, WaveDancer, Palo Alto Networks, Dell Technologies, CrowdStrike, Tyler Technologies, and Motorola Solutions are the seven Cybersecurity stocks to watch today, according to MarketBeat's stock screener tool. Cybersecurity stocks refer to publicly traded companies that provide products and se

Cybersecurity Stocks To Add to Your Watchlist - February 13th

Dell Technologies is set to retire its hybrid work policy, requiring employees living within an hour of a company office to return to the workplace full-time starting next month. In a memo to staff, CEO Michael Dell announced that all hybrid and remote team members near one of the company’s ...

Dell CEO demands five-day RTO for those near to offices | Employee Experience | HR Grapevine USA | News

On November 26, Dell Technologies Inc. (NYSE:DELL) announced financial results for the third quarter of fiscal 2025. It reported a revenue of $24.4 billion, up 10% from last year, driven by strong ISG revenue growth. While CSG’s revenue was down 1% year-over-year, ISG’s figure soared 34% ...

Why Are Analysts Bullish on Dell Technologies (DELL) Now?

Alphabet, CrowdStrike, Palo Alto Networks, Dell Technologies, and Emerson Electric are the five Cybersecurity stocks to watch today, according to MarketBeat's stock screener tool. Cybersecurity stocks refer to publicly traded companies that specialize in providing products and services related to d

Cybersecurity Stocks To Add to Your Watchlist - February 02nd

Alphabet, CrowdStrike, Palo Alto Networks, Dell Technologies, Emerson Electric, Fortinet, and Motorola Solutions are the seven Cybersecurity stocks to watch today, according to MarketBeat's stock screener tool. Cybersecurity stocks are publicly-traded companies that specialize in providing products

Cybersecurity Stocks To Keep An Eye On - February 01st

There is a lot of demand for AI-related products and services, and concerns about whether the tech sector is once again overspending on growth are valid. Three stocks which possess attractive growth prospects in AI and which look to be among the cheapest buys right now include Dell Technologies ...

Got $5,000? These Are 3 of the Cheapest Artificial Intelligence Stocks to Buy Right Now

Advisory Services for Cybersecurity Maturity Model Certification (CMMC) for Microsoft help customers align their cybersecurity posture with CMMC guidelines through specific recommendations for Microsoft solutions.

Dell Technologies Accelerates AI Innovation and Strengthens Cybersecurity Strategies for Microsoft Customers

Thoma Bravo-backed cybersecurity firm Sophos said on Monday it would acquire Secureworks from Dell Technologies for $859 million in cash to strengthen its product lineup for enterprise customers.

Sophos buys Secureworks for $859 mln to beef up cybersecurity portfolio | Reuters

Dell Technologies

delltechnologies

, a leading provider of full-stack solutions for data science teams, and , the industry-leading meta machine learning experimentation platform, announced a collaboration with a reference architecture for data science teams looking to harness the power of the Dell EMC infrastructure in tandem with Comet’s meta machine learning platform. Dell EMC Comet With Dell EMC PowerEdge reference architectures, organizations can deploy artificial intelligence workload-optimized rack systems approximately 6-12 months faster than it would have taken to design the correct configurations and deploy the solution. Organizations can now rely on architectures that are tested and validated by our Dell engineers and know that services are available when and where you need them. “Orchestrating and managing the stack for enterprise data science teams is a huge pain point for many of our customers,” said Gideon Mendels, Co-founder/CEO, Comet. “Dell EMC’s Kubeflow and Kubernetes solutions are best-in-class and an excellent choice for any data science team looking to build a robust and scalable ML platform.” Comet is a meta machine learning experimentation platform allowing users to automatically track their metrics, hyperparameters, dependencies, GPU utilization, datasets, models, debugging samples, and more. By leveraging Comet, data science teams produce faster research cycles, and more transparent and collaborative data science. Comet also provides a built-in hyperparameter optimization service, interactive confusion matrices, full code tracking and reproducibility features. Comet on-premise installations can support teams of any size,  from a single machine to distributed microservices. “This is one of those products that makes you question how you functioned without it. Comet gives data science teams all the automation and productivity features they need, but that they never get around to developing themselves,” says Phil Hummel, Senior Principal Engineer and Distinguished Member of Technical Staff, Dell EMC. The Reference architecture utilizes Dell EMC AI-Enabled Kubernetes solution backed by Canonical’s and Kubeflow that complies with all requirements of the AI workload. Charmed Kubernetes The solution includes 100% upstream Kubernetes latest code wrapped into easily consumable packages and supported by Canonical. Dell EMC and Comet’s reference architecture and data science team user story illustrates how our joint solution can provide teams the tools and infrastructure they need to manage their machine learning workflows—data storage, experimentation and model building, and deployment—while providing flexible and robust deployment options as teams scale. To learn more about Dell EMC’s AI-Enabled Kubernetes Cluster options, read more or reach out to Dell EMC directly to . To learn more about Comet’s meta-machine learning platform, read more about Comet or contact Comet’s for more information or to schedule a demo. here schedule a call here customer solutions team Read the that covers (a) using Comet with Dell EMC AI-enabled infrastructure and (b) technical installation instructions. full whitepaper here

Machine Learning Platform Collaboration Between Dell EMC and Comet [Partnership Announcement]

**TEL AVIV, Israel, May 2nd, 2024/CyberNewsWire/--**Early adoption by Fortune 100 companies worldwide, LayerX already secures more users than any other browser security solution and enables unmatched security, performance and experience. LayerX, pioneer of the LayerX Browser Security platform, today announced $26 million in Series A funding led by Glilot+, the early-growth fund of Glilot Capital Partners, with participation from Dell Technologies Capital and other investors. Lior Litwak, Managing Partner at Glilot Capital and Head of Glilot+, and Yair Snir, Managing Partner at Dell Technologies Capital, will join the LayerX board. The new capital will be used for corporate growth across talent and increasing global market presence. This round brings the company’s total investment to $34 million. Today’s modern enterprise employees rely heavily on browser-based services and SaaS applications. Yet, these fundamental work activities expose organizations to a wide range of security risks, like data leaks, identity and password theft, malicious browser extensions, phishing sites and more. LayerX was purpose-built to secure and govern browser-based work, from both managed and unmanaged devices. “We’ve transformed workforce protection for organizations without requiring the transition to a dedicated secure browser. Unlike other solutions, installed in a matter of minutes, the LayerX Browser Extension does not impact employee efficiency, speed, privacy or the browsing experience, ” said Or Eshed, co-founder and CEO, LayerX. “As the browser becomes more central to the employee, we anticipate it becomes more attractive to the attacker, particularly in the wake of GenAI tools used in browser-related activities,” he continues. “Today’s funding round is a testament to our increasing market opportunity and the innovation behind our platform’s user-friendly approach to a more secure browser experience.” LayerX's Enterprise Browser Extension is compatible with all commonly used browsers, including Chrome, Firefox, Edge and others, without requiring agents, a VPN or network modifications. Once deployed, the information security or IT team gains visibility into user activities and can block or restrict any threat in real-time, without impacting the user experience. LayerX protects against all threats, whether they were inadvertently or maliciously caused by the employee, or whether they were originated by the attacker. The solution includes an AI engine that granularly monitors the code run by the browser and automatically generates a variety of insights related to user behavior in the browser. "Since inception, LayerX showed super fast growth and adoption by the world’s leading enterprises. The company is at the forefront of defense for modern organizations. By protecting the browser, the central productivity application in organizations, from a wide range of new-generation security risks, LayerX can solve acute security problems that have remained unanswered until now,” said Kobi Samboursky, Founding and Managing Partner at Glilot Capital “We believe that this novel solution for securing browsers will replace most SASE and SSE solutions prevalent today in organizations. At an estimated market size of $7 billion, the potential inherent in LayerX’s technology is tremendous." "Similar to other successful entrepreneurs in the cybersecurity field we've collaborated with, Or and David bring significant experience and knowledge in understanding the technical issues involved in threats to organizations and the motivations of attackers. Consequently, they recognize that effective security measures should adapt to real-world user behaviors, rather than the other way around,” said Yair Snir, Managing Director at Dell Technologies Capital. “In a world where most computer operations are conducted through browsers, LayerX introduces a creative approach to corporate security that is user-friendly, robust, and easily implementable in large organizations. This approach transforms the browser from a major vulnerability to a strength, facilitating secure work across devices. Our investment in LayerX isn't just driven by the promising opportunity but also by the potential impact of the company's solution on organizations, regardless of where employees conduct their tasks." About LayerX LayerX was founded in 2022 by Or Eshed, CEO, and David Weisbrot, CTO, who developed web attack and defense systems during their military service. In 2017, Eshed led the exposure of the largest attack campaign in history on the Chrome browser, which involved tens of millions of compromised browsers and even led to the capture and trial of the hackers. LayerX has Fortune 100 clients worldwide. LayerX Enterprise Browser Extension natively integrates with any browser, turning it into the most secure and manageable workspace, with no impact on the user experience. Enterprises use LayerX to secure their devices, identities, data, and SaaS apps from web-borne threats and browsing risks that endpoint and network solutions can’t protect against. Those include data leakage over the web, SaaS apps and GenAI Tools, malicious browser extensions, phishing, account takeovers, shadow SaaS, and more. Contact Dori Harpaz LayerX dori@layerxsecurity.com This story was distributed as a release by Cyberwire under HackerNoon’s Business Blogging Program. Learn more about the program here. **TEL AVIV, Israel, May 2nd, 2024/CyberNewsWire/--**Early adoption by Fortune 100 companies worldwide, LayerX already secures more users than any other browser security solution and enables unmatched security, performance and experience. LayerX, pioneer of the LayerX Browser Security platform, today announced $26 million in Series A funding led by Glilot+, the early-growth fund of Glilot Capital Partners, with participation from Dell Technologies Capital and other investors. Lior Litwak, Managing Partner at Glilot Capital and Head of Glilot+, and Yair Snir, Managing Partner at Dell Technologies Capital, will join the LayerX board. The new capital will be used for corporate growth across talent and increasing global market presence. This round brings the company’s total investment to $34 million. Today’s modern enterprise employees rely heavily on browser-based services and SaaS applications. Yet, these fundamental work activities expose organizations to a wide range of security risks, like data leaks, identity and password theft, malicious browser extensions, phishing sites and more. LayerX was purpose-built to secure and govern browser-based work, from both managed and unmanaged devices. “We’ve transformed workforce protection for organizations without requiring the transition to a dedicated secure browser. Unlike other solutions, installed in a matter of minutes, the LayerX Browser Extension does not impact employee efficiency, speed, privacy or the browsing experience, ” said Or Eshed, co-founder and CEO, LayerX. “We’ve transformed workforce protection for organizations without requiring the transition to a dedicated secure browser. Unlike other solutions, installed in a matter of minutes, the LayerX Browser Extension does not impact employee efficiency, speed, privacy or the browsing experience, ” said Or Eshed, co-founder and CEO, LayerX. “As the browser becomes more central to the employee, we anticipate it becomes more attractive to the attacker, particularly in the wake of GenAI tools used in browser-related activities,” he continues. “Today’s funding round is a testament to our increasing market opportunity and the innovation behind our platform’s user-friendly approach to a more secure browser experience.” “As the browser becomes more central to the employee, we anticipate it becomes more attractive to the attacker, particularly in the wake of GenAI tools used in browser-related activities,” he continues. “Today’s funding round is a testament to our increasing market opportunity and the innovation behind our platform’s user-friendly approach to a more secure browser experience.” LayerX's Enterprise Browser Extension is compatible with all commonly used browsers, including Chrome, Firefox, Edge and others, without requiring agents, a VPN or network modifications. Once deployed, the information security or IT team gains visibility into user activities and can block or restrict any threat in real-time, without impacting the user experience. LayerX protects against all threats, whether they were inadvertently or maliciously caused by the employee, or whether they were originated by the attacker. The solution includes an AI engine that granularly monitors the code run by the browser and automatically generates a variety of insights related to user behavior in the browser. "Since inception, LayerX showed super fast growth and adoption by the world’s leading enterprises. The company is at the forefront of defense for modern organizations. By protecting the browser, the central productivity application in organizations, from a wide range of new-generation security risks, LayerX can solve acute security problems that have remained unanswered until now,” said Kobi Samboursky, "Since inception, LayerX showed super fast growth and adoption by the world’s leading enterprises. The company is at the forefront of defense for modern organizations. By protecting the browser, the central productivity application in organizations, from a wide range of new-generation security risks, LayerX can solve acute security problems that have remained unanswered until now,” said Kobi Samboursky, Founding and Managing Partner at Glilot Capital “We believe that this novel solution for securing browsers will replace most SASE and SSE solutions prevalent today in organizations. At an estimated market size of $7 billion, the potential inherent in LayerX’s technology is tremendous." Founding and Managing Partner at Glilot Capital “We believe that this novel solution for securing browsers will replace most SASE and SSE solutions prevalent today in organizations. At an estimated market size of $7 billion, the potential inherent in LayerX’s technology is tremendous." "Similar to other successful entrepreneurs in the cybersecurity field we've collaborated with, Or and David bring significant experience and knowledge in understanding the technical issues involved in threats to organizations and the motivations of attackers. Consequently, they recognize that effective security measures should adapt to real-world user behaviors, rather than the other way around,” said Yair Snir, "Similar to other successful entrepreneurs in the cybersecurity field we've collaborated with, Or and David bring significant experience and knowledge in understanding the technical issues involved in threats to organizations and the motivations of attackers. Consequently, they recognize that effective security measures should adapt to real-world user behaviors, rather than the other way around,” said Yair Snir, Managing Director at Dell Technologies Capital. “In a world where most computer operations are conducted through browsers, LayerX introduces a creative approach to corporate security that is user-friendly, robust, and easily implementable in large organizations. This approach transforms the browser from a major vulnerability to a strength, facilitating secure work across devices. Our investment in LayerX isn't just driven by the promising opportunity but also by the potential impact of the company's solution on organizations, regardless of where employees conduct their tasks." Managing Director at Dell Technologies Capital. “In a world where most computer operations are conducted through browsers, LayerX introduces a creative approach to corporate security that is user-friendly, robust, and easily implementable in large organizations. This approach transforms the browser from a major vulnerability to a strength, facilitating secure work across devices. Our investment in LayerX isn't just driven by the promising opportunity but also by the potential impact of the company's solution on organizations, regardless of where employees conduct their tasks." About LayerX LayerX was founded in 2022 by Or Eshed, CEO, and David Weisbrot, CTO, who developed web attack and defense systems during their military service. In 2017, Eshed led the exposure of the largest attack campaign in history on the Chrome browser, which involved tens of millions of compromised browsers and even led to the capture and trial of the hackers. LayerX has Fortune 100 clients worldwide. LayerX Enterprise Browser Extension natively integrates with any browser, turning it into the most secure and manageable workspace, with no impact on the user experience. Enterprises use LayerX to secure their devices, identities, data, and SaaS apps from web-borne threats and browsing risks that endpoint and network solutions can’t protect against. Those include data leakage over the web, SaaS apps and GenAI Tools, malicious browser extensions, phishing, account takeovers, shadow SaaS, and more. Contact Dori Harpaz LayerX dori@layerxsecurity.com This story was distributed as a release by Cyberwire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Cyberwire under HackerNoon’s Business Blogging Program. Learn more about the program here . here here

LayerX Security Raises $26M For Its Browser Security Platform, Enabling Employees To Work Securely 

HackerNoon editorial team has launched this interview series with women in tech to celebrate their achievements and share their struggles. We need more women in technology, and by sharing stories, we can encourage many girls to follow their dreams. Share your story today! Tell us about yourself! Ritika: I am a technical product manager who is passionate about bringing compelling enterprise solutions to the market to solve customer problems at scale and deliver profitable growth. I have over ten years of experience in the field, working for large enterprises such as Splunk, Amazon Web Services (AWS), Dell Technologies, and Hewlett Packard Enterprise. Prior to working in the Enterprise technology space, I worked in the automobile industry as a manufacturing planning engineer. My Academic qualifications include an MBA and Bachelor’s degree in Industrial Engineering. Why did you choose the Technology Product Management field in the first place? Ritika: The early seeds of my career in technology product management were planted serendipitously during my first job as an industrial engineer working at one of India's largest commercial vehicle manufacturers. Focusing on the engineering implementation aspect of manufacturing new vehicles, I grew extremely curious about who decided what to build and why we were building something. It was fascinating to uncover the customer demands and business objectives behind each product line in the factory. I decided to pursue an MBA at Mays Business School, Texas A&M University, looking for formal education in the business side of things. During my MBA, I got into the product management world as an intern for enterprise storage. This role was a true 'aha' moment for me. I saw firsthand how products are conceptualized, developed, and launched. I realized that product management was where I wanted to focus my career. Over the past decade, this decision has been the most rewarding one, allowing me to lead the launches of multiple high-impact products. What tech are you most excited/passionate about right now and why? Ritika: I find data analytics and artificial intelligence (AI) applications in the precision farming field very exciting. Very soon traditional farming is going to face a lot of challenges while dealing with climate change and resource depletion. The world population is predicted to grow rapidly which puts immense pressure on agriculture to constantly increase its output. We can enrich precision farming practices such as optimized watering and controlling plantation methods based on real-time data on soil conditions, weather forecasts, and crop health by integrating AI with sophisticated data analytics closer to where the decision needs to be made. This technology has the potential and is probably our only hope to significantly increase crop yields and reduce waste by optimizing resource usage. What tech are you most worried about right now and why? Ritika: I am worried about how large language models (LLMs) like ChatGPT will continue to train on public data. Training models on copyrighted work without permission is concerning, but if laws are put in place to regulate this, AI companies will potentially run out of public data to train their models. I am concerned about how this will go down to be fair to original content creators while not impeding the evolution of LLMs. What are your hobbies and interests outside of tech? Ritika: Outside of work, I enjoy traveling, learning Spanish (currently on my 342nd-day streak on Duolingo), creating content on social media platforms, and hiking in the beautiful Pacific Northwest. Let's talk about breaking the glass ceiling. What were the biggest challenges you faced as a woman in tech, and how did you deal with them? Ritika: I have faced my fair share of challenges in the industry. There are some common microaggressions I have encountered, including being interrupted or talked over by colleagues, my achievements being attributed to my gender instead of competence, and assuming things about my interests and skills based on gender stereotypes. Any questionable misogynistic story/situation you faced/handled, and you want to share with the HackerNoon Fam? Ritika: There is one story that stands out for me. I was assigned to lead a major project involving a collaboration with a third-party company to co-brand and market a multimillion-dollar product. This was a significant opportunity, especially since I was one of the youngest product managers ever tasked with such a project. The key meeting for this project was scheduled in Europe, and I traveled there to meet with my counterpart from the third-party company. Before the official meeting, we met informally at a conference. It became immediately apparent that he was uncomfortable with me leading the project once he realized who I was. Without consulting me, he quickly included my manager in the upcoming meeting. During the meeting, he directed all questions to my manager, ignoring me despite my role as the subject matter expert. This not only put me in an awkward position but also frustrated my manager, who expected me to be the primary point of communication. After the meeting, I expressed my dissatisfaction to my manager, who was equally disappointed by the counterpart's behavior. Together, we decided that the best course of action was for my manager to decline future meeting invitations and to send a note emphasizing that all decisions and communications should be channeled through me. This incident underscores the challenges women often face in professional settings, where gender prejudices overshadow our capabilities and leadership roles. It’s crucial for organizations to support their staff by fostering an environment where such biases are addressed promptly and effectively. What was the biggest setback/failure that you faced, and how did you manage it? Ritika: Failures are opportunities to learn, working in Technology product management I live by the principle of failing fast when introducing new products and I tend to apply the same ideology in life to continuously course correct and move forward. What's your biggest achievement that you're really proud of? Ritika: I am proud of my resilience, both professionally and personally. I continue to persevere in the face of challenges and focus on my skills. I used to be proud of becoming my business school’s brand ambassador and having a billboard near IAH airport with my face on it. When my parents traveled from India for my graduation in the USA, they beamed with joy seeing my billboard on their way to the airport, which made me proud. In your opinion, why do we see this huge gender gap in the tech industry, and how can we reduce it? Ritika: The huge gender gap cannot be attributed to one thing, but one of the biggest contributing factors is the lack of STEM awareness and education for young girls, especially in developing countries. Lack of limited role models in the workplace, preconceived notions, and biases also contribute to the problem. We all need to come together to reduce the gender gap in Tech. Some of the ways can be to Promote STEM education among young girls through programs and scholarships.
Encourage an inclusive culture that provides a safe space to support women throughout their careers.
Include more diverse leaders in tech companies. Who is your tech idol? Why? Ritika: I admire a lot of tech folks. Radia Perlman, also known as the “mother of the internet,” is pretty amazing. Do you have any advice for aspiring girls who want to join the field? Ritika: My advice to aspiring women/girls who want to join Tech is never to undersell yourself. Have confidence in your potential. I have observed women often hesitate to apply for a tech position unless they meet every single listed job requirement/qualification. But you need to remember that candidate requirements are often a “good to have” skill list for the ideal candidate, and thus not meeting every criterion should not deter you from applying. Many skills can be learned on the job, and showing a willingness to grow and adapt is highly valued in the tech industry. HackerNoon editorial team has launched this interview series with women in tech to celebrate their achievements and share their struggles. We need more women in technology, and by sharing stories, we can encourage many girls to follow their dreams. Share your story today ! this interview series with women in tech Share your story today Tell us about yourself! Ritika: I am a technical product manager who is passionate about bringing compelling enterprise solutions to the market to solve customer problems at scale and deliver profitable growth. I have over ten years of experience in the field, working for large enterprises such as Splunk, Amazon Web Services (AWS), Dell Technologies, and Hewlett Packard Enterprise. Ritika: Prior to working in the Enterprise technology space, I worked in the automobile industry as a manufacturing planning engineer. My Academic qualifications include an MBA and Bachelor’s degree in Industrial Engineering. Why did you choose the Technology Product Management field in the first place? Why did you choose the Technology Product Management field in the first place? Ritika: The early seeds of my career in technology product management were planted serendipitously during my first job as an industrial engineer working at one of India's largest commercial vehicle manufacturers. Focusing on the engineering implementation aspect of manufacturing new vehicles, I grew extremely curious about who decided what to build and why we were building something. It was fascinating to uncover the customer demands and business objectives behind each product line in the factory. Ritika: I decided to pursue an MBA at Mays Business School, Texas A&M University, looking for formal education in the business side of things. During my MBA, I got into the product management world as an intern for enterprise storage. This role was a true 'aha' moment for me. I saw firsthand how products are conceptualized, developed, and launched. I realized that product management was where I wanted to focus my career. Over the past decade, this decision has been the most rewarding one, allowing me to lead the launches of multiple high-impact products. What tech are you most excited/passionate about right now and why? Ritika: I find data analytics and artificial intelligence (AI) applications in the precision farming field very exciting. Very soon traditional farming is going to face a lot of challenges while dealing with climate change and resource depletion. The world population is predicted to grow rapidly which puts immense pressure on agriculture to constantly increase its output. We can enrich precision farming practices such as optimized watering and controlling plantation methods based on real-time data on soil conditions, weather forecasts, and crop health by integrating AI with sophisticated data analytics closer to where the decision needs to be made. This technology has the potential and is probably our only hope to significantly increase crop yields and reduce waste by optimizing resource usage. Ritika: What tech are you most worried about right now and why? What tech are you most worried about right now and why? Ritika: I am worried about how large language models (LLMs) like ChatGPT will continue to train on public data. Training models on copyrighted work without permission is concerning, but if laws are put in place to regulate this, AI companies will potentially run out of public data to train their models. I am concerned about how this will go down to be fair to original content creators while not impeding the evolution of LLMs. Ritika: What are your hobbies and interests outside of tech? Ritika: Outside of work, I enjoy traveling, learning Spanish (currently on my 342nd-day streak on Duolingo), creating content on social media platforms, and hiking in the beautiful Pacific Northwest. Ritika: Let's talk about breaking the glass ceiling. What were the biggest challenges you faced as a woman in tech, and how did you deal with them? Ritika: I have faced my fair share of challenges in the industry. There are some common microaggressions I have encountered, including being interrupted or talked over by colleagues, my achievements being attributed to my gender instead of competence, and assuming things about my interests and skills based on gender stereotypes. Ritika: Any questionable misogynistic story/situation you faced/handled, and you want to share with the HackerNoon Fam? Any questionable misogynistic story/situation you faced/handled, and you want to share with the HackerNoon Fam? Ritika: There is one story that stands out for me. I was assigned to lead a major project involving a collaboration with a third-party company to co-brand and market a multimillion-dollar product. This was a significant opportunity, especially since I was one of the youngest product managers ever tasked with such a project. The key meeting for this project was scheduled in Europe, and I traveled there to meet with my counterpart from the third-party company. Before the official meeting, we met informally at a conference. It became immediately apparent that he was uncomfortable with me leading the project once he realized who I was. Without consulting me, he quickly included my manager in the upcoming meeting. During the meeting, he directed all questions to my manager, ignoring me despite my role as the subject matter expert. This not only put me in an awkward position but also frustrated my manager, who expected me to be the primary point of communication. After the meeting, I expressed my dissatisfaction to my manager, who was equally disappointed by the counterpart's behavior. Together, we decided that the best course of action was for my manager to decline future meeting invitations and to send a note emphasizing that all decisions and communications should be channeled through me. Ritika: This incident underscores the challenges women often face in professional settings, where gender prejudices overshadow our capabilities and leadership roles. It’s crucial for organizations to support their staff by fostering an environment where such biases are addressed promptly and effectively. What was the biggest setback/failure that you faced, and how did you manage it? What was the biggest setback/failure that you faced, and how did you manage it? Ritika: Failures are opportunities to learn, working in Technology product management I live by the principle of failing fast when introducing new products and I tend to apply the same ideology in life to continuously course correct and move forward. Ritika: What's your biggest achievement that you're really proud of? What's your biggest achievement that you're really proud of? Ritika: I am proud of my resilience, both professionally and personally. I continue to persevere in the face of challenges and focus on my skills. I used to be proud of becoming my business school’s brand ambassador and having a billboard near IAH airport with my face on it. When my parents traveled from India for my graduation in the USA, they beamed with joy seeing my billboard on their way to the airport, which made me proud. Ritika: In your opinion, why do we see this huge gender gap in the tech industry, and how can we reduce it? In your opinion, why do we see this huge gender gap in the tech industry, and how can we reduce it? Ritika: The huge gender gap cannot be attributed to one thing, but one of the biggest contributing factors is the lack of STEM awareness and education for young girls, especially in developing countries. Lack of limited role models in the workplace, preconceived notions, and biases also contribute to the problem. Ritika: We all need to come together to reduce the gender gap in Tech. Some of the ways can be to Promote STEM education among young girls through programs and scholarships. Encourage an inclusive culture that provides a safe space to support women throughout their careers. Include more diverse leaders in tech companies. Promote STEM education among young girls through programs and scholarships. Encourage an inclusive culture that provides a safe space to support women throughout their careers. Include more diverse leaders in tech companies. Who is your tech idol? Why? Ritika: I admire a lot of tech folks. Radia Perlman, also known as the “mother of the internet,” is pretty amazing. Ritika: Do you have any advice for aspiring girls who want to join the field? Ritika: My advice to aspiring women/girls who want to join Tech is never to undersell yourself. Have confidence in your potential. I have observed women often hesitate to apply for a tech position unless they meet every single listed job requirement/qualification. But you need to remember that candidate requirements are often a “good to have” skill list for the ideal candidate, and thus not meeting every criterion should not deter you from applying. Many skills can be learned on the job, and showing a willingness to grow and adapt is highly valued in the tech industry. Ritika:

World of Technology Product Management: Women in Tech Interview with Ritika Saini

Exploring Shadow AI's impact on business: risks, strategies, and the quest for a secure, innovative future. How will companies navigate this new frontier? In December 2023, Amazon unveiled its latest venture, Q, promising a safer alternative to consumer-focused chatbots like ChatGPT. However, the excitement was short-lived. Just three days after the announcement, Amazon Q was embroiled in controversy. Employees were alarmed over its inadequate security and privacy measures, revealing that Q fell short of Amazon's stringent corporate standards. Critics its tendency for "hallucinations" and leaking sensitive information, including AWS data center locations, unreleased product features, and internal discount programs. Amazon's engineers were forced into damage control mode, addressing critical issues tagged as a "sev 2" emergency to prevent future fallout. AI highlighted Around the same time, Samsung Electronics Co. grappled with its own AI-induced headache. Sensitive internal source code found its way onto ChatGPT, spotlighting glaring security vulnerabilities. The response was swift: a company-wide ban on generative AI tools was communicated through an internal memo. Samsung's decision underscored the difficulties of managing data on external AI platforms, such as Google Gemini and Microsoft Copilot, where control over data retrieval and deletion is elusive. This move mirrored the concerns of , who viewed these AI services as a digital . Despite the ban's impact on productivity, Samsung remained firm, opting to develop in-house AI solutions for translation, document summarization, and software development until a secure AI-using environment could be established. 65% of Samsung employees Trojan horse Apple, too, joined the fray, prohibiting its employees from using ChatGPT and similar AI-powered tools. The ban was partly fueled by the tools' affiliations with Microsoft, a direct competitor, stoking fears about Apple's sensitive data security. This trend wasn't exclusive to tech giants; financial behemoths like , Deutsche Bank, Wells Fargo, and others also limited AI chatbots' use, aiming to shield sensitive financial information from third-party eyes. JPMorgan Chase Yet, these restrictions inadvertently birthed a culture of "Shadow AI," where employees use their personal devices at work in their quest for efficiency and time-saving, highlighting a significant policy-practice gap in AI usage. Shadow AI: Unseen Threat Although concrete data is scarce, numerous individuals at companies with AI restrictions have to employing such workarounds — those are only the ones open about it! This Shadow AI usage is prevalent in many organizations, encouraging the use of AI in ways that contradict or violate company policies, thus becoming an activity employees feel compelled to conceal. confessed As I dug into this issue deeper, I found some recent studies confirming that despite about in the workplace, . Recent research by Dell that 91% of respondents have dabbled with generative AI in their lives in some capacity, with another 71% reporting they've specifically used it at work. numerous stories companies restricting genAI use employees don't seem to be using it any less indicates The study conducted by highlights a significant gap between AI adoption in the workplace and the formal policies governing its use in Australia and New Zealand. While 63% of employees in these regions utilize AI for various tasks, only 36% of organizations officially allow it. The survey reveals that AI is being applied for creating written content (51%), enhancing productivity (37%), automating repetitive tasks (37%), improving decision-making (29%), and customer service (20%). However, only 11% of organizations have a comprehensive policy for AI usage, and 21% have no intention to establish any. ISACA Moreover, the study by ISACA indicates a lack of AI-related training within organizations, with only 4% offering it to all staff and 57% not providing any training, even to those directly affected by AI technologies. This situation raises concerns similar to those regarding Shadow IT, where employees use IT resources without formal approval, potentially risking organizational security and governance. Navigating the New Frontier of Risk and Responsibility Much like how Shadow IT snuck up on businesses, Shadow AI is already present, forcing organizations to confront their GenAI stance head-on while still figuring out how to use it. Experts guardrails will not stop employees from using AI tools as they significantly enhance productivity and save time. Therefore, company CIOs must confront this issue and explore mitigation strategies that align with their organization's tolerance for risk. Inevitably, employees with good intentions will utilize these tools to increase their efficiency, so corporate tech leaders can prevent any potential harm to the organization by proactively addressing this trend and managing it effectively. believe Every employee's interaction with AI tools can be a potential point of vulnerability. The history of Shadow IT is marked by significant data breaches, such as the infamous incidents involving , which led to the public exposure of the personal data of 30,000 individuals. These historical precedents serve as a cautionary tale, emphasizing the need for rigorous data governance in the age of AI. unsecured Amazon S3 buckets Shadow AI is a more formidable challenge than Shadow IT for several reasons. First, the decentralized nature of AI tool usage means that the potential for data misuse or leakage is not limited to a technical subset of employees (e.g., developers) but extends across the entire organization. Additionally, inherently learn from the data they process, creating a dual layer of risk: the possibility of accessing sensitive data by AI vendors and the enhanced capability of bad actors to discover and exploit exposed data. AIaaS (AI as a Service) models Strategies to Tackle Shadow AI According to , regional VP of EMEA and Asia and head of digital transformation at SAS, tech leaders with a data-first mindset will be able to drive enhanced efficiencies in 2024 and beyond. This is because maximizing the benefits of generative AI tools is contingent upon well-organized data, necessitating robust data management practices encompassing data access, hygiene, and governance. Amir Sohrabi In his for CIO.com, Nick Brackney, Gen AI & Cloud Evangelist Leader at Dell Technologies, points to "three prescriptive ways" businesses should use to combat Shadow AI successfully. article First, establish a centralized strategy for generative AI usage, involving executive leadership to define use cases, create secure access, and protect data. This approach simplifies enforcement and scaling across the organization while requiring effort to build and identify easy wins to ensure success. Second, keep your data organized and understand which types should not be placed in public or hosted private cloud AI offerings, such as trade secrets and sensitive information. Use AI solutions that allow for complete control or do not retain conversation logs for these types of data. Third, control the AI service by bringing it to your data, whether on-premises or through secure cloud solutions, to leverage advantages in governance, employee productivity, and secure data access. This approach enhances the end-user experience, ensuring compliance and reducing the risk of data exposure. Crafting a clear is crucial for delineating improper AI practices that could potentially harm your organization and for guiding the integration of AI applications in line with data security protocols and risk management strategies. This policy serves as a benchmark, allowing decision-makers to evaluate the usage of AI tools within the organization against established guidelines, swiftly pinpoint any risk exposures, and determine the necessary corrective actions. AI Acceptable Use Policy Ethan Mollick, professor at the Wharton School of the University of Pennsylvania, another thought-provoking approach. He believes that traditional methods for integrating new technologies are ineffective for AI due to their centralized nature and slow pace, making it difficult for IT departments to develop competitive in-house AI models or for consultants to provide specific guidance. The real potential for AI application lies with the employees who are experts in their own jobs, suggesting that for organizations to truly benefit from AI, they must engage their workforce (aka "Secret Cyborgs") in using AI technologies. offers First and foremost, brands should acknowledge that employees at any level could possess valuable AI skills, irrespective of their formal role or past performance. Having detected the among their AI-savvy employees, companies must foster a collective learning environment such as crowd-sourced prompt libraries and create a culture that diminishes the apprehension around AI by offering assurances against job loss due to AI, promoting the use of AI for eliminating mundane tasks and encouraging more engaging work. secret cyborgs Establishing psychological safety is crucial to encouraging open AI usage among employees. Employers should be able to offer substantial rewards for identifying significant opportunities where AI can aid the organization. This could include financial incentives, promotions, or flexible working conditions and be handled through gamification. Today's organizations should act swiftly to determine how productivity gains from AI will be utilized, how work processes should be reorganized in light of AI capabilities, and how to manage potential risks associated with AI use, such as data hallucinations and IP concerns. This calls for a proactive approach to crafting comprehensive AI policies, engaging employees across all levels to leverage their insights, and fostering a culture that rewards AI-driven innovation. As technophiles and businesses navigate the complexities of AI integration, what strategies will you deploy to responsibly and innovatively leverage this transformative technology within your organization or personal projects, ensuring a balanced approach to privacy, security, and efficiency? Don’t forget to check out my previous article to discover ! AI’s dirty secret

Shadow AI: Reshaping the Future, But at What Cost?

শ্যাডো এআই: ভবিষ্যতকে পুনর্নির্মাণ করা, কিন্তু কী মূল্যে?

Schatten-KI: Die Zukunft neu gestalten, aber zu welchem Preis?

IA en la sombra: remodelando el futuro, pero ¿a qué precio?

Shadow AI : remodeler l’avenir, mais à quel prix ?

शैडो एआई: भविष्य को नया आकार देना, लेकिन किस कीमत पर?

シャドウ AI: 未来を再構築するが、その代償は?

Shadow AI: 미래를 재편하려면 비용이 얼마나 듭니까?

Shadow AI: remodelando o futuro, mas a que custo?

Теневой ИИ: меняя будущее, но какой ценой?

Shadow AI: Geleceği Yeniden Şekillendirmek, Ama Maliyeti Ne Olacak?

Shadow AI: Định hình lại tương lai, nhưng với cái giá nào?

影子人工智能：重塑未来，但代价是什么？

The surge in international demand has rallied the world’s largest tech and start-up event to scale even higher and bigger in 2023, spearheading a global tech takeover across two Dubai mega venues next month. The 43rd edition of will take place from 16-20 October 2023, the blockbuster tech showpiece once again reaching full capacity at the Dubai World Trade Centre as it prepares to host more than 6,000 exhibitors, while , the world’s largest start-up event hosted by Dubai Chamber of Digital Economy, will kick-off its largest ever edition from 15-18 October 2023 at the new Dubai Harbour venue, featuring 1,800 start-ups from 100-plus countries at the Middle East’s biggest iconic superyacht hub. GITEX GLOBAL Expand North Star GITEX GLOBAL and Expand North Star will comprise a combined 41 halls spanning 2.7 million sq. ft of exhibition space – a 35 percent increase over the previous year – converging the best minds and most visionary companies to scrutinise, challenge, define, and empower the digital agendas of the world. AI innovation wave, cybersecurity and launch shows fuel unprecedented growth GITEX GLOBAL will present the year’s largest AI showcase and summit, its record growth fuelled by the AI innovation wave currently gripping the globe’s imagination, as 3,500 AI-infused exhibitors reveal how this next big technology shift is transforming lives, governments, business, and society. The AI boom has also added another layer of complexity to protecting digital assets and critical IP infrastructure, with the elevated taking the fight directly to the dark cyber-criminal underworld, gathering leading info-sec brands and global experts at the year’s biggest cyber security showcase. GITEX Cyber Valley Amplifying this growth, launch shows and promise to be the epicentre of ground-shaking shifts in climate technology, while advancing sustainable cities, and co-creating a net zero future ahead of the UN climate change summit, COP28. GITEX Impact Future Urbanism Expo “The intense demand for involvement in GITEX from the global tech and start-up community is an acknowledgment of the strong impetus to learn, exchange, debate and challenge the recent developments in the tech sphere,” said Trixie LohMirmand, Executive Vice President of Events Management at DWTC, the organiser of GITEX GLOBAL and Expand North Star. “From AI, cyber to the mounting interest in clean tech, GITEX converges public and private sector leaders from more than 170 countries to explore the new unknown paradigms of the future digital economy.” Expand North Star propels Dubai to forefront of global entrepreneurship economy Expand North Star hosted by the Dubai Chamber of Digital Economy will scale to a record size in 2023, featuring 1,800 start-ups start-up exhibitors this year to connect, inspire, and extend engagements in one of the world’s most innovative and entrepreneurial ecosystems. More than 1,000 investors from 70 countries with $1 trillion under management will also converge at the new Dubai Harbour venue, as they look to ramp up the momentum in start-up investment after a year of tepid achievements. Saeed Al Gergawi, Vice President of Dubai Chamber of Digital Economy, said: “Expand North Star is set to drive the next era of digital entrepreneurship and inspire the next generation of innovators and thinkers. “This landmark event will serve as a strategic catalyst to expand the future of Dubai’s digital economy, creating an unrivalled platform to gather key stakeholders from the global start-up community here in the emirate.” Elevating the global tech ecosystem, redefining entire industries GITEX GLOBAL 2023 welcomes the biggest tech names delving into the latest trends, risks, challenges, and opportunities that are redefining entire industries, spearheaded by returning titans including Dell Technologies, e&, Google, Huawei, HP, IBM, Microsoft, and Tonomus. Among the debut exhibitors supercharging their international growth strategies and forging new connections are Salesforce, Broadcom, Beyon, and Deloitte. Steven Yi, President of Huawei Middle East & Central Asia said: “At Huawei, GITEX GLOBAL continues to hold great importance to our business year after year.  This year, our theme, ‘Accelerate Intelligence,’ demonstrates our commitment to delve into the transformative power of AI, networks, and cloud technologies. “Together, we will explore how these converging forces are reshaping our world and how we can unleash the full capabilities of AI-powered solutions to reshape industries worldwide with cyber security, privacy protection and safeguarding our customer’s digital transformation journey remaining our top priorities.” More information is available at and www.gitex.com www.expandnorthstar.com All of our Hackers can get their hands on a special promo code valid for -25% on Delegate Passes! Explore 20 Conference Tracks: GITEX Global Main Stage | Ai Everything | Banking & Finance Tech | CTO World Congress | Cybersecurity | Digital Cities | EdTech | Energy Transition | Expand North Star (Startups) | Fintech Surge | Future Blockchain Summit | Marketing Mania | Future Mobility | Future Urbanism | GITEX Impact (Sustainability) | Global DevSlam | HealthTech | Intelligent Connectivity/5G | RetailTech | Web 3.0 Dive into 40+ Workshops: In addition, gain access to hands-on workshops and more. If you're looking to enhance your skills and knowledge, GITEX GLOBAL also offers certified training sessions on addressing AI, Digital Twins, Web 3.0, Generative AI, Metaverse Development, Cybersecurity, and AI and Data Science Applications. It's an exceptional opportunity to immerse yourself in the latest trends and developments in the tech world, network with industry leaders, and gain valuable insights that can drive your business and career forward. All you have to do is: Register at: https://visit.gitex.com/Visitor/Registration/delegate Select the Pass of your choice and add it to the Basket Click on - Your Basket Checkout Enter the Promo Code and click on VALIDATE Fill the delegates' information and click on Submit & Continue Proceed to Payment Gateway Promo Code: COM251490 * code is applicable only on COM251490 All Access Conference Pass, Expand North Star+ Conference Pass, Vertical Pass, Workshop pass and Global Devslam Pass and Conference agenda Workshops For more details, contact or visit conferences@dwtc.com http://www.gitex.com

Global Surge Fuels GITEX Takeover of Dubai with Dual Mega Venues

What is app integration? Application integration is the process of allowing independently developed apps to communicate with one another. What is an Application Integration Tool, and how does it work? Software that merges and optimizes data flows between two different software applications is known as application integration (or app integration for short). Application integration software is frequently used by businesses to build a bridge between a new cloud application and an existing on-premises application, allowing a wide range of independently developed apps to function together. What does App Integration do? Application integration services allow many apps to share processes and business data. This entails seamlessly linking several on-premise and cloud apps to convert and orchestrate the data needed for business activities. These apps can range from CRM and e-commerce platforms to financial and ERP systems, and they can handle a variety of corporate objectives. Why do we use app Integration? The simple answer is that linked systems are essential for providing a complete perspective of standard business activities, particularly those that need several technological inputs and generate income. Most apps, created at different times and by other vendors, do not connect by default and require different technologies. It's also integration technology connecting SaaS and on-premise apps to your corporate architecture, allowing for open communication and removing data silos that bog down company operations. Here are some of the top integration tools for businesses and other customers Boomi Boomi is a subsidiary of Dell Technologies. AtomShere, Boomi's main solution, facilitates the integration of cloud platforms, software-as-a-service applications, and on-premise systems. The configuration of application integrations in AtomSphere is done using a visual interface. Boomi Atom, the solution's runtime tool, enables integrations to be deployed wherever they are required. The AtomSphere platform comes in a variety of versions, depending on the use case and capabilities. Celigo Integrator.io, a Celigo offering, is an Integration Platform as a Service. Organizations may use the solution to link apps, synchronize data, and automate operations. Celigo has an API assistance, a visual field mapping interface, and drop-down options in its integration process. Users may also develop their own library of reusable, independent flows using the tool's reusable pre-configured integration templates, which are offered on the integrator.io marketplace. Quickwork Quickwork is a no-code, real-time, enterprise iPaaS with 1,000+ pre-integrated apps to build enterprise and consumer workflows, publish APIs, and manage conversations. With users in 130 countries, Quickwork is becoming the go-to iPaaS for enterprises. Enterprises use Quickwork to build simple and complex workflows, create and publish secure APIs, and manage conversational interactions with customers, employees and partners to provide a great user experience. Flowgear Flowgear is an integration Platform as a Service company located in South Africa that provides corporate application integration capabilities. Their solution offers a balance of technical complexity and ease of use for developers. The data transportation framework, cloud-based task hosting, and visual designer are all features of Flowgear, which is cloud-native. DropPoints are lightweight services that allow on-premise applications to connect to cloud-based systems. The integration lifecycle may also be approached at two speeds (bimodal) with Flowgear. Informatica For a variety of corporate use cases, Informatica's data integration tools portfolio covers both on-prem and cloud installations. Advanced hybrid integration and governance features are combined with self-service business access to different analytic functions by the vendor. Informatica's CLAIRE Engine, a metadata-driven AI engine that uses machine learning, allows for enhanced integration. Informatica's increasing line of data management software packages boasts high compatibility. Jitterbit Jitterbit is a company that specializes in cloud data integration and API translation. Jitterbit Harmony, the company's principal product, allows companies to design, implement, and manage the whole integration lifecycle. The platform includes a graphical interface for guided drag-and-drop configuration, pre-built templates for integration, and the ability to inject artificial intelligence into applications. The solution may be used in cloud, hybrid, or on-premise systems, and it can feed aggregated data to real-time analytics. MuleSoft MuleSoft is a B2B application delivery network that uses APIs to link data, apps, and devices. The provider provides API access to a wide range of on-prem and cloud-based apps and systems, allowing enterprises to better their applications through integration. MuleSoft has an expanding capabilities portfolio and offers both conventional and Integration Platform as a Service offerings. Benefits of App Integration The advantages vary from eliminating redundant work to improving operations and even cost savings. We have chosen seven of them to show to you below. Your company's control and relationship Application Integration is a fantastic approach to having total control over your business. This is because, thanks to its many methods, information management has improved since it provides an overall view, allowing for full awareness of what occurs inside it. It streamlines corporate procedures. If there's one area where application integration technologies perform, it's in It streamlines corporate procedures. If there's one area where application integration technologies perform, automating and streamlining all help firms. It makes no difference if the technology system is complex or several asynchronous apps. Integration of applications reduces costs and investments. The deployment of application integration also aids in cost savings within the organization. Integration of new and old software is a good illustration of this: there are fewer investments because the former does not need to be deleted. There are fewer investments. Furthermore, business application integration allows for the creation of new services and products that may be applied both internally and outside. This is a fantastic way to save money at all costs in the long term in the long term. It promotes the interchange of knowledge. The information interchange is substantially higher when the various sections of a firm and their separate applications and IT structures are connected. The data and software utilized by the organization are accessible to all workers. This eliminates information redundancy, allowing the organization to function more effectively and efficiently. It reduces the time and effort needed. All business information can be found in one place thanks to the integration of different software systems, making the task of every employee much easier. As a result, the time and effort necessary to execute tasks decreases. Thanks to application integration, large-scale tasks that often take a long time may now be performed in less time. Consequently, the company runs at maximum efficiency, and unnecessary tasks are no longer necessary.

7 Best Application Integration Tools to Consider for 2022

FlexJobs just completed it's and companies dominated this year’s list! Through an analysis of the remote job posting histories of approximately 57,000 companies in the FlexJobs database, we’ve pinpointed the companies that offered the most remote jobs from January through December 2020. 8th annual list of the Top 100 Companies to Watch for Remote Jobs Computer & IT Below are the 22 tech companies that are known for hiring remote workers, as well as their respective rank on FlexJobs’ list. Software Engineer, Web Developer, Project Manager, and IT Consultant are also among the most common job titles for remote jobs! 13 	Citrix 23 	Oracle 25 	Salesforce 36 	VIQ Solutions 38 	Twilio 41 	Dell Technologies 42 	CrowdStrike 45 	Veeva 46 	SAP 47 	Red Hat 49 	Shopify 50 	Atlassian 54 	NTT Group: NTT DATA 57 	GitHub 59 	Keywords Studios 60 	Elastic 64 	General Dynamics; General Dynamics Information Technology 69 	Motorola Solutions 70 	Tanium 73 	Pega - Pegasystems, Inc. 81 	ServiceNow 83 	Cisco 92 	Leidos To view the entire 2021 Top 100 Companies for Remote Jobs list, please visit . https://www.flexjobs.com/blog/post/100-top-companies-with-remote-jobs-2021/

22 Top Tech Companies Hiring Remote Workers in 2021

Artificial intelligence (AI) and machine learning are no longer futuristic theories. They are now real technologies with real applications in numerous businesses. The Forbes Insights poll, together with Dell Technologies and Intel, showed that AI is a key component of digital development, but only a quarter of Chief Experience Officers surveyed say they have implemented these technologies in their company. What is the reason for such low AI penetration in organizations and is your company ready to use machine learning? In this article, we will share our thoughts on the impact of AI on business and how to implement it faster. Using AI in Business Over the past 50 years, numerous businesses have been actively automating processes. In the near future, we will completely and instead use autonomous systems capable of processing huge amounts of information quickly. If businesses introduce new technologies into their workflow, they will be able to significantly improve productivity and financial efficiency. get rid of the manual processing of information These days, it’s not enough to just create a product or offer a service. It is also important to . Therefore, product improvement according to user experience becomes the key to effective business. This applies to both B2B and B2C companies. Automation, flexibility, and simplicity are terms that must be clearly integrated into any organization's processes. Thanks to the efficient use of resources, your company will increase customer loyalty and will have a competitive advantage over other market players. establish communication with your consumers How can you start using machine learning? Create or adjust your role in the automation process and instill a new corporate culture. Assemble an ideological team of specialists who are ready to face the difficulties of mastering new technologies. Prepare data for artificial intelligence training. Choose a machine learning platform or service provider that provides AI as a service or develop your own solution. Train your own specialists, because it will be very expensive to search for ones in the market. Run, test and implement the project. From Theory to Practice Now, let's talk about the companies that effectively use new technologies in their strategies. Google - Neural Networks The company's most significant achievement is the creation of machines in DeepMind that can dream and create unusual images. Google is committed to exploring all aspects of machine learning, which helps the company , as well as process natural speech more efficiently and translate it, improving both ranking and predictive systems. improve algorithms Pinterest - Content Search The main function of the Pinterest social network is content curation. And the company is doing everything possible to increase the efficiency of this process, including the use of machine learning. Today, ’s  business operations, from moderation of spam and content searches to monetizing ads and reducing the number of unsubscribes from newsletters. machine learning is involved in every aspect of Pinterest IBM - Next Generation Healthcare IBM is abandoning an outdated business model and is actively exploring new directions. The brand’s most famous product today is Over the past few years, Watson has been used in hospitals and medical centers where it has diagnosed certain types of cancer more effectively than oncologists. Watson Artificial Intelligence. Watson also has huge retail potential where it can serve as a consultant. IBM offers Watson as a license-based product, making it unique and affordable. The Future of AI 1. Machines that learn even more efficiently Very soon, artificial intelligence will be able to learn much more efficiently: machines will improve with minimal human involvement. 2. Automation of the fight against cyber attacks The rise of cyber crime is forcing companies to think about defenses. Soon, AI will play an increasingly important role in monitoring, preventing and responding to cyber attacks. 3. Convincing generative models Soon we will not be able to distinguish machines from people at all. In the future, algorithms will be able to create pictures, imitate human speech and even entire personalities. 4. Quick training Even the most complex artificial intelligence needs a huge amount of data for training. Soon, machine learning systems will require less and less information and time. Final Thoughts Unfortunately, these technologies are imperfect, and human skepticism for their implementation is still high. A recent IDC report claims that AI and machine learning will increase productivity by 4 times in the foreseeable future, and 2.5 million industrial robots will work in industries around the world. In 2020, about 30% of all office work will be automated, and by 2021, 20% of corporate applications will be working using AI. It sounds great, but in practice most companies still use manual labor to process data. Their corporate culture, inertia and unwillingness to apply new technologies may hinder business development and AI implementation.

Is Your Business Ready for AI Implementation?

In today’s data-driven era, most companies operate with an aim to become smarter, by taking advantage of market opportunities. With the help of advanced technologies, companies are making improvements in their processes. One of the most talked-about advancements in technology is (AI) and its two sub-segments; , and . Artificial Intelligence Machine Learning Deep Learning Using this astonishing technology, companies can achieve new levels of efficiency in data analysis that impact their whole business. The rapidly growing implementation of AI across numerous industries will drive momentous growth in the coming years, with AI software revenue set to reach approximately . $90 billion by 2025 Though AI is greatly impacting several industries and businesses. We can expect AI (artificial intelligence) to bring out more radical changes in various aspects. There are various key . AI trends that we can expect in 2020 In this blog, I'll look at the impact of AI mainly on two rapidly progressing industries: the Healthcare Industry, and the Automotive Industry. Impact of AI on the Healthcare Industry The impact of Artificial Intelligence on healthcare is truly mind-blowing. In recent years, AI has forced a paradigm shift in the healthcare industry. This outstanding technology is revolutionizing the health sectors in numerous ways. Whether it’s about drug development or clinical research, AI is playing a key role in improving patient’s outcomes in terms of better treatment methods, speed of care, and more at reduced costs. Additionally, it allows doctors and hospitals to access huge data sets of potentially life-saving information. The latest computing power helps in discovering and analyzing various large and small trends from data and even makes predictions by means of machine learning, which is designed to identify potential health outcomes. AI’s promising factors like easy accessibility, cost-effectiveness and high-efficiency are attracting huge investments from both private and public sectors in the healthcare industry. As per a study, the investment rate will touch . Another report by Accenture shows that AI applications can create annual savings of $150 billion by 2026 for US healthcare. $6.6 billion by 2021 Examples of AI Tech Innovations in the Health Care Industry Some of the key examples of AI tech innovations in the health care industry include: : As per a 2017 University of Bristol study, it was found that the children with autism usually face difficulty in distinguishing facial expressions. In that same year, Milo, a 2 foot tall, visually expressive robot was launched by Dell Technologies. This robot was used to teach autistic kids between 5 to 17 years regarding how to identify signs of emotion. In the present time, this robot is used in educational facilities in 27 U.S. states. Visually Expressive Robot : ALS, also known as Lou Gehrig's disease, is a deadly neurodegenerative disease that leads to the death of motor neurons that are responsible for controlling voluntary muscles. It further leads to difficulty in speaking, swallowing and breathing issues, weakness, and paralysis. With the help of eye-tracking glasses that use AI technology known as a brain-computer interface (BCI) facilitates people who have lost their ability to speak or move, to communicate again. This technology helps patients to type with their eyes onto a monitor that vocalizes their thoughts through computerized decoding. It also allows patients to read books, emails and stay connected to the world. Connecting ALS patients : There are few types of cardiac arrhythmias, especially atrial fibrillation that can lead to heart attacks or strokes. With the help of AI-enabled electrocardiograph (ECG) that utilize a convolutional neural network, the electrocardiographic signature of atrial fibrillation can be identified more accurately during normal sinus rhythm. Identifying Atrial Fibrillation How Will Artificial Intelligence Revolutionize The Healthcare Industry? Some of the key ways in which artificial intelligence will revolutionize the healthcare industry include: Unified mind and machine through Brain-computer interfaces (BCIs) Development in the next generation of radiology tools Growing access to care in underserved or developing regions Reduced burdens of electronic health record use More accurate analytics for pathology images Bringing intelligence to medical devices and machines Advancement in the use of immunotherapy for cancer treatment Health monitoring through wearable and personal devices Revolutionized clinical decision making with artificial intelligence The potential for AI in the healthcare industry is quite vast. It is being used and will continue to be utilized for the health and well-being of people, early detection of diseases, diagnosis, clinical decision making, treatment programs, research, training and much more. Impact of AI on Automotive Industry The AI applications in the automotive industry are not only about self-driving cars but also about keeping ourselves safe, on schedule and connected while driving. Due to the growing use of AI applications in the automotive industry, it is estimated that the value of AI in automotive manufacturing and cloud services will exceed . $10.73 billion by 2024 Key Applications of AI in the Automotive Industry Now let’s look at the various applications of AI in the automotive industry that is impacting automakers, vehicle owners, and service providers: The AI Driving Features There are basically two kinds of functionalities when talking about driving cars with AI. These functionalities can be categorized as: a) Driver assistant and b) Driverless automobiles. : AI has completely transformed the in-vehicle experience for automobiles. It is redefining every aspect of the vehicle including personalization, in-car virtual assistants, driver behavior monitoring, and intelligent driver assistance systems. AI offers advanced safety features like emergency braking, cross-traffic detectors, blind spot monitoring, and driver-assist steering for connected vehicles to help avoid accidents. By monitoring various sensors, AI can identify dangerous situations and alert the driver about the same or even take emergency control of the vehicle to avoid an accident. Driver Assistant : Driverless cars that were part of science fiction movies in the past have become a reality today with the help of artificial intelligence. Also known as a self-driving car, autonomous vehicle (AV), robotic car, or connected and autonomous vehicle (CAV), the driverless car is a vehicle that is designed to sense its environment and move safely with little or no human participation. Some of the automotive leaders such as Google and Tesla are spending millions of dollars on research and development to bring out better technology and to make autonomous cars hit the road. Driverless Automobiles AI Cloud Services It is important to note that connected vehicles need a lot of data to do their job perfectly. The application of AI cloud platforms ensures that data is available as and when required. Cloud services provide an ideal platform for staging and deploying AI technology in the automotive field, which includes analytics, big data access, and centralized connectivity. AI cloud services can help in: : AI cloud services helps in predicting maintenance by monitoring hundreds of sensors and detecting any potential issues before they affect vehicle operation. Predicting Maintenance : In the advertising field, AI-based cloud platforms provide an ideal solution to precisely target a captive audience of qualified prospects. Individualized Marketing AI Automotive Insurance AI automotive insurance is all about providing a real-time risk assessment of automobiles. AI helps to make the whole process of filing claims in case of accidents, fast and reliable. With the help of deep learning technology, AI automotive insurance helps in: : AI helps in performing driver risk assessment by creating risk profiles based on drivers’ individual risk factors available in big data. With the help of AI, any required details about a driver can be found easily that may affect his/her ability to drive safely. AI-Powered Driver Risk Assessment : AI-powered video apps like Dingsunbao 2.0, allow drivers to perform their own auto damage assessment for their insurance companies. Moreover, AI provides all the essential information to the drivers regarding repairing their vehicle and what all will be covered under insurance. DIY Auto Claims AI in Automobile Manufacturing AI also plays a key role in building automobiles. Smart robots are being used in the manufacturing process along with their human counterparts to bring out the best designs and output. Additionally, various Automated Guided Vehicles (AVGs) are being used in automobile manufacturing sites to move materials around automotive plants without human intervention. AI also empowers robots to identify defects or irregularities in materials and alert quality control personnel. AI-Enabled Driver Monitoring Other than watching the road, AI also enables cars to keep an eye on the driver. By utilizing advanced cameras and IR sensors, AI software detects driver behavior in various key areas including: Driver identification (It detects whether the driver is in the vehicle or not), Driver recognition (It detects which driver is operating the vehicle), Driver monitoring (It detects distracted driving and alerts the driver to drive safely on the road), Infotainment control (with simple hand gestures, drivers can control the infotainment system of the vehicle without the need to take their eyes off the road). Conclusion: AI technology is growing persistently and the adoption of this leveraging technology is also rising day by day. There is no doubt that AI has been transforming numerous industries. As AI technologies support assorted environments and scale to meet the changing needs of various industries, choosing the best AI software development services can help businesses in their digital transformation.

11+ Interesting AI Applications In The Healthcare and Automotive Industries

Internet of Things (IoT) is creating new opportunities and providing a competitive advantage for businesses in current and new market. IoT is all about generation and analysis of data . Hence, consideration must be given to protect data all along its life cycle. It becomes imperative to manage information at all complex levels since data will flow across many administrative boundaries with different policies and intent. over the internet Source: https://www.sensorsexpo.com/iot-ecosystem Present day IoT architecture: Centralised It relies on centralised, brokered communication models (also known as, client-server paradigm). All devices are identified, authenticated, and connected through cloud servers that sport huge processing and storage capacities. Connection among devices happen exclusively over the internet even if they’re a few feet apart. Also, machine-to-machine (M2M) communication is difficult because there is no single platform that connects all devices no guarantee that cloud services offered by different manufacturers are interoperable and compatible. The centralised architecture poses challenges to secure IoT deployments. Handling the enormous volume of existing and projected data is daunting. Managing the inevitable complexities of connecting to a seemingly unlimited list of devices is complicated. And the goal of turning the deluge of data into valuable actions seems impossible because of the many challenges. The existing security technologies will play a role in mitigating IoT risks but they are not enough. The goal is to get data securely to the right place, at the right time, in the right format; it’s easier said than done for many reasons. The centralised security model common in the enterprise today will struggle to scale up to meet the demands of the internet of things, or IoT. Maybe we could decentralise IoT network? Adopting a standardised peer-to-peer communication model to process the hundreds of billions of transactions between devices will significantly reduce the costs associated with installing and maintaining large centralised data centres and will distribute computation and storage needs across the billions of devices that form IoT networks. This will prevent failure in any single node in a network from bringing the entire network to a halting collapse. Two Main Types of Blockchain- In a , everyone can read or write data. Some public blockchains limit the access to just reading or writing. , for example, uses an approach where anyone can write. public blockchain Bitcoin In a , all the participants are known and trusted. This is useful when the blockchain is used between companies that belong to the same legal mother entity. private blockchain Blockchain and IoT Blockchain technology can be used in tracking billions of connected devices, enable the processing of transactions and coordination between devices; allow for significant savings to IoT industry manufacturers. This decentralised approach would eliminate single points of failure, creating a more resilient ecosystem for devices to run on. The cryptographic algorithms used by blockchains, would make consumer data more private. The ledger is tamper-proof and cannot be manipulated by malicious actors because it doesn’t exist in any single location, and man-in-the-middle attacks cannot be staged because there is no single thread of communication that can be intercepted. Blockchain makes trustless, peer-to-peer messaging possible and has already proven its worth in the world of financial services through cryptocurrencies such as Bitcoin, providing guaranteed peer-to-peer payment services without the need for third-party brokers. The decentralized, autonomous, and trustless capabilities of the blockchain make it an ideal component to become a fundamental element of IoT solutions. It is not a surprise that enterprise IoT technologies have quickly become one of the early adopters of blockchain technologies. In an IoT network, the blockchain can keep an immutable record of the history of smart devices. This feature enables the autonomous functioning of smart devices without the need for centralized authority. As a result, the blockchain opens the door to a series of IoT scenarios that were remarkably difficult, or even impossible to implement without it. By leveraging the blockchain, IoT solutions can enable secure, trustless messaging between devices in an IoT network. In this model, the blockchain will treat message exchanges between devices similar to financial transactions in a bitcoin network. To enable message exchanges, devices will leverage smart contracts which then model the agreement between the two parties. One of the most exciting capabilities of the blockchain is the ability to maintain a duly decentralised, trusted ledger of all transactions occurring in a network. This capability is essential to enable the many compliance and regulatory requirements of industrial IoT applications without the need to rely on a centralised model. Source: https://www.tcs.com/content/dam/tcs/pdf/technologies/internet-of-things/abstract/Blockchain%20for%20the%20IoT.pdf Supply-Chain Use Case As IoT continues to grow at a rapid rate, sensors and devices are becoming more common place to communicate. In business networks, where data such as location, temperature, vibration, humidity need to be shared a permissioned blockchain ledger can help create a tamper evident record. This opens new ways to automate business processes without setting up costly centralized IT infrastructure and all participants have access to same data. How supply chains benefit when data is shared through a permissioned blockchain? The IoT enabled packet transmits required information such as temperature, humidity, etc as it passes through multiple carriers. The business contracts specifies the conditions that must be met during the shipment from factory to grocery store and all parties must adhere to the terms of the contract. Result: Happy customer with peace of mind about the food in his or her cart. Micro-Payments Use Case Imagine tour fridge telling you how much milk you’ve left and if you’re low on it, your fridge automatically adds it to your shopping list. Or how about this! When your car is at fault, it will book a mechanic automatically. All this is possible via . This can be done with Ethereum as platform. In a way, Ethereum is rewriting IoT architecture. smart contracts IoT and Blockchain in Health Source: https://lympo.io/wp-content/uploads/2017/12/whitepaper.pdf?v5 Registering permissions to access patient-generated data on blockchain, users are empowered to control who can access their data, and under which conditions. This capability enables individuals to be the owners of their precious data asset. This data set can be compiled from information originating from a variety of data sources; ranging from electronic medical records provided by hospitals, clinics and doctors, to fitness/wellness data generated by mHealth apps and wearables. It can also be complimented by disease and treatment monitoring applications and custom information added by a user individually. Blockchain in IoT represents the biggest technological disruption since the integration of computing and transaction processing systems. Due to major progress in device innovation and software, it is now possible to bring transaction processing and intelligence to devices everywhere. There are critical adaptability challenges connected with distributed systems, as well as security, coordination, intellectual property management, identity, and privacy. Many institutions and individuals are actively working on these issues and building an open source foundation for the proliferation of this technology. References: https://www.forbes.com/sites/delltechnologies/2017/06/27/how-blockchain-could-revolutionize-the-internet-of-things/#637542cd6eab https://lympo.io/wp-content/uploads/2017/12/summary.pdf?v2 Fin. Source: https://steemit-production-imageproxy-upload.s3.amazonaws.com/DQmQyEc99217zhkPYECNxn43twDjD4DHLtaS94d5hVseed7

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