Survey Finds 25% of Data Managers Greenlight Any Projects Powered by AI

For enterprise data teams, GenAI expectations are sky-high, and a new survey finds that management often leads the charge. A quarter of executives (25 percent) say their leaders will greenlight any project “with AI as a core component,” while the largest group (44 percent) are a bit more ….

Generative Imaging AI Will Use Game Engines and Synthetic Data to Train Models

By Chris Zacharias, CEO, Imgix Imagine an AI capable of transforming a single photograph into a living, breathing scene. Change the lighting, the weather, or even the camera angle with just a few clicks. This is not a distant dream; it is the future of generative imaging AI — and its foundation lies in an […]

GenAI Platform Squirro Reports Nearly 60% Growth

Zurich, Switzerland. February 6, 2025 — Squirro, an enterprise GenAI platform provider, announced it closed out the second half of 2024 with a year-on-year increase in revenue of almost 60 percent and a growth forecast to exceed this in 2025. The company attributed this to several factors: acquisitions and partnerships, new technology and its ability to […]

How the Age of Generative AI is Changing a CISOs Approach to Security

In this contributed article, Chris Peake, Chief Information Security Officer (CISO) and Senior Vice President of Security at Smartsheet, explores how the role of CISOs is evolving to address new security challenges posed by generative AI. The article underscores the importance of collaboration and adaptability to keep organizations secure as AI is expected to continue to reshape cybersecurity in 2025.

How Generative AI Can Transform the Future of Identity and Access Management

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.

AI Beyond LLMs: How LQMs Are Unlocking the Next Wave of AI Breakthroughs

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

[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. 

Unlocking the Power of Generative AI to Support the Software Development Lifecycle

In this contributed article, Keri Olson, IBM’s Vice President of Product Management, AI for Code, discusses how AI code assistants can help accelerate the software development lifecycle (SDLC), enhance productivity, and improve code quality through generative AI.  

Embrace Innovation While Reducing Risk: The Three Steps to AI-grade Data at Scale

In this contributed article, Kunju Kashalikar, Senior Director of Product Management at Pentaho, discusses how to dream big without the risk: three steps to AI-grade data. The industry adage of ‘garbage-in-garbage-out’ has never been more applicable than now. Clean, accurate data is the key to winning the AI race – but leaving the starting blocks is the challenge for most. Winning the race means working with data that’s match fit for AI.

Podcast: The Batch 11/20/2024 Discussion

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).