In this contributed article, Anirban Bhattacharya dives into how generative AI addresses persistent challenges like proper role definition, inefficient access reviews, and the limitations of static authentication methods. From AI-driven threat detection to delivering seamless, personalized user experiences, this article outlines the innovative ways generative AI is shaping the future of IAM.
Generative AI’s Accuracy Depends on an Enterprise Storage-driven RAG Architecture
December 4, 2024 by
[SPONSORED POST] In this sponsored article, Eric Herzog, CMO of Infinidat, suggests that as part of a transformative effort to bring one’s company into the AI-enhanced future, it’s an opportunity to leverage intelligent automation with RAG to create better, more accurate and timely responses. Further, to optimize your storage systems for this enhancement, look for industry-leading performance, 100% availability and cyber storage resilience. They make you RAG-ready.
Is AI-Powered Surveillance Contributing to the Rise of Totalitarianism?
November 30, 2024 by
In this contributed article, Aayam Bansal explores the increasing reliance on AI in surveillance systems and the profound societal implications that could lead us toward a surveillance state. This piece delves into the ethical risks of AI-powered tools like predictive policing, facial recognition, and social credit systems, while raising the question: Are we willing to trade our personal liberties for the promise of safety?
Podcast: The Batch 11/20/2024 Discussion
November 25, 2024 by
Hello friends! We hope you enjoy this new podcast featuring Andrew Ng’s “The Batch” newsletter from November 11, 2024 featuring a rousing discussion of the emerging trend of writing text specifically for large language models (LLMs).
Why Mathematics is Essential for Data Science and Machine Learning
November 12, 2024 by
In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, explores why mathematics is so integral to data science and machine learning, with a special focus on the areas most crucial for these disciplines, including the foundation needed to understand generative AI.
DeepL to Debut NVIDIA DGX SuperPOD with DGX GB200 Systems in Europe
October 31, 2024 by
The purchase — the biggest yet for DeepL — is among first NVIDIA DGX SuperPOD with DGX GB200 systems and will fuel DeepL’s industry-leading Language AI platform DeepL, a leading global Language AI company, today announced it will be among the first to commercially deploy the NVIDIA DGX SuperPOD with DGX GB200 systems. The NVIDIA DGX SuperPOD, […]
The AI Revolution: How Machine Learning has Changed the World in Two Years
October 30, 2024 by
In this contributed article, Ashley Marron, CEO of MindGenius, observes that as we approach the second anniversary of the launch of ChatGPT, it’s important to look at the impact AI has had on business technology, radically changing how companies and industries work, in that short time.
The insideAI News IMPACT 50 List for Q4 2024
October 22, 2024 by
The team here at insideAI News is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe. We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List.
At 2024 AI Hardware & Edge AI Summit: Arun Nandi, Head of Data & Analytics, Unilever
October 16, 2024 by
At the recent 2024 AI Hardware & Edge AI Summit in San Jose, Calif., I caught up with Arun Nandi, Head of Data & Analytics, Unilever, a large Fortune 500 consumer goods company with a presence in 190 countries.
Interview: Charles Sansbury, CEO, Cloudera
October 15, 2024 by
insideAI News caught up with Charles Sansbury, CEO Cloudera, at the company’s EVOLVE24 event on October 10, 2024 in New York City to gain some insights into how Cloudera is embracing machine learning and data science, but also the company’s work environment, and employees. Also discussed was news announced at the event such as the partnership with Snowflake.
