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.
The latest big data news and articles
Challenging the Cloud-Only Path to AI Innovation: A Critical Look at Vendor-Led AI Roadmaps
December 12, 2024 by
In this contributed article, Saulo Bomfim, Vice President, Product and Service Strategy at Rimini Street, suggests that as major enterprise software vendors limit their AI offerings to cloud-only platforms, organizations face mounting pressure to migrate—but instead of jumping into costly cloud transitions, IT leaders should first be aware of these four key challenges that could impact their AI transformation journey, and a viable solution to combat them all.
AI’s Impact on Data Centers: Driving Energy Efficiency and Sustainable Innovation
December 11, 2024 by
In this contributed article, Joe Reele, Vice President, Solution Architects at Schneider Electric, discusses the challenges and innovations in data center design driven by AI advancements and discusses the implications for energy consumption, infrastructure, and technological evolution.
KNIME Releases AI Companion to Drive Smarter Collaboration with AI
December 11, 2024 by
KNIME, the open source data analytics and AI company, announced the launch of its AI companion – K-AI – to all users. With K-AI, users can co-create powerful data workflows with AI. K-AI will answer questions, make recommendations, and extend or build whole data workflows based on user prompts.
Unlock the Full Potential of Your Data
December 10, 2024 by
In this contributed article, John Mark Suhy, CTO of Greystones Group, discusses how a comprehensive data catalog with robust access control, complemented by expert insights, is essential for secure and effective AI-driven data management. By prioritizing these elements, organizations can empower AI systems to generate precise insights, automate reporting, and recommend data confidently.
Pathway Secures $10 Million Led by TQ Ventures to Advance the Development of Live AI
December 9, 2024 by
Pathway, the data company that builds live AI, announced its $10 million Seed round to build live AI systems that think and learn in real-time as humans do. The round was led by TQ Ventures, with participation from Kadmos, Inovo, Market One Capital and Id4, as well as several high-profile angel investors.
SurrealDB Launches Surreal Cloud, a Fully Managed Database Service That Tackles the Complexity Issues Faced by Developer Teams
December 7, 2024 by
SurrealDB, the ultimate multi-model database, announced the launch of Surreal Cloud, a Database-as-a-Service (DBaaS) offering. In its first iteration, enterprises now have access to a fully managed solution for developers that want to leverage the power and flexibility of SurrealDB without the complexities of managing infrastructure.
Tuskira Emerges from Stealth with $28.5M to Launch AI-Powered Unified Threat Defense Platform
December 6, 2024 by
Tuskira, a pioneering threat defense platform leveraging an AI-powered security mesh, has launched out of stealth mode with $28.5 million in funding. The round was led by Intel Capital and SYN Ventures, with participation from Sorenson Capital, Rain Capital, Wipro Ventures, and other key industry leaders.
AI Beyond LLMs: How LQMs Are Unlocking the Next Wave of AI Breakthroughs
December 5, 2024 by
In this contributed article, Dr. Stefan Leichenauer, Vice President of Engineering and lead scientist at SandboxAQ, discusses the profound evolution that is now emerging: Large Quantitative Models (LQMs), designed to tackle complex real-world problems in areas such as healthcare, climate science, and materials design, are set to revolutionize industries and unlock new AI-powered breakthroughs for some of the world’s greatest challenges.
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.
