The Ravit Show

Gartner has named K2view a Visionary in the 2025 Magic Quadrant for Data Integration Tools, and they have moved up inside the Visionary quadrant. This is a big signal for anyone who cares about data and AI in the enterprise.I had to cover this news in person and what better place than my friend, Ronen Schwartz’s home in Palo Alto, talking to him about what this actually means. We did not just speak about a report. We spoke about whether data integration still matters in an AI world and why K2View’s approach is getting attention right now.Here is how I see it.- First, data integration is more relevant than ever. Your AI agents, copilots, and analytics are only as good as the data foundation behind them. K2View’s bet has been simple to understand. Give every business domain a clean, real time, governed view of its data, and make it available to any use case, including AI.- Second, the move up in the Visionary quadrant is about more than a label. It reflects how K2View is executing on this idea of “AI ready data,” not just talking about it. They are helping customers move away from scattered pipelines to a consistent way of delivering trustworthy data products into AI, analytics, and operations.- Third, when you compare their position with the large leaders, you see a different angle. The big platforms are broad. K2View is sharp and focused.They model data around real business entities, not just tablesThey support real time views without forcing you into one storage patternThey are designing with GenAI and agentic AI in mind from day oneFinally, the strategic outlook. Ronen is very clear that this is not about selling “yet another integration tool.” It is about being the data layer that lets enterprises move faster with AI while staying in control of privacy, compliance, and performance.For leaders who are serious about AI and tired of slideware, K2View’s move in the Magic Quadrant is one of those signals worth paying attention to.#data #ai #gartner #gartnermagicquadrant #agenticai #agents #k2view #theravitshow

Some conversations shift how you think about the future of AI. This one did. I just sat down with David Flynn, Founder and CEO of Hammerspace, to talk about something enterprises rarely discuss openly: the real engine behind AI is no longer compute. It is data.

We went deep into why NVIDIA’s AI Data Platform has become the blueprint for modern AI architecture and why Hammerspace is emerging as the layer that actually makes this blueprint real for enterprises.

David broke down how the industry is moving from building AI around compute to building AI around data.

He talked about what the AI Anywhere era looks like, and why the next generation of AI systems will need a global, unified view of data across cloud, edge, and physical environments.

We also talked about the partnership with NVIDIA, how it boosts the productivity of agentic AI, and why enterprises will need data that can move as fast as their models.

David shared how Hammerspace is preparing for what comes next in 2026 and beyond, from scale to power efficiency to open standards.

This is one of those conversations that gives you clarity on where the industry is going and why data architecture is about to become the biggest competitive advantage.

#data #ai #nvidia #hammerspace #gpu #enterprise #agenticai #theravitshow

AI doesn’t fail because of GPUs. It fails because of data.

I had a blast chatting with Jeff Echols, Vice President, AI and Strategic Partners at Hammerspace, from NVIDIA GTC in Washington. We talked about the part of AI nobody is fixing fast enough: getting data to GPUs at the speed the GPUs need it.

Jeff breaks down what makes the Hammerspace AI Data Platform different from traditional AI storage. This isn’t “more storage.” It’s orchestration. Move data globally. Feed it to the right workload. Keep GPUs busy instead of waiting.

We also got into MCP and why an intelligent data control layer is now core to any real AI strategy, plus how Hammerspace lines up with the NVIDIA AI Data Platform reference design so enterprises can actually run this in production, not just in a lab.

And we talked Tier 0. If you want GPU ROI, Tier 0 is about one thing: keep the GPUs fed at full speed.

If you’re trying to scale AI past a pilot, watch this.

#data #ai #nvidiagtc #nvidia #hammerspace #gpu #theravitshow

AI in the public sector isn’t a pilot anymore. It’s running in the real world. Check out my conversation from NVIDIA GTC in Washington with Robin Braun, VP AI Business Development, Hybrid Cloud at Hewlett Packard Enterprise, and Russell Forrest, Town Manager of Town of Vail. This one is important because it’s about AI for cities, not just AI for big tech. I had a blast interviewing both Robin and Russell.

We talked about how HPE is using AI to tackle real problems every city deals with: traffic, safety, and energy efficiency. Robin walked through how you build a smarter, more connected city by turning live data into decisions that actually help people on the ground.

Russell brought the city view from Vail. He explained what it takes to move from “we’re testing AI” to “we’re using this in operations.” We got into risk, cost, and how you deploy without adding complexity or slowing down public services.

We also discussed agentic AI. Not as a buzzword, but as something that can help a town react in real time while still keeping humans in control.

Better safety. Better visitor experience. Better use of resources. Same team.

This is AI as public service infrastructure.

Full interview is now live on LinkedIn and YouTube.

#data #ai #nvidiagtc #nvidia #hammerspace #gpu #storage #theravitshow

Public sector AI is moving fast. The big question is how to build it the right way.

I had a blast chatting with Andrew Wheeler, Hewlett Packard Enterprise Fellow and Vice President at Hewlett Packard Labs and HPC & AI Advanced Development at NVIDIA GTC in Washington, DC.

We talked about:

* How HPE helps agencies build and scale sovereign AI ecosystems

* Why the public sector is a core focus for HPE in AI

* Practical steps for data sovereignty, compliance, and security without slowing innovation

* Where sovereign AI shows up first: government, defense, citizen services, large-scale research

* How HPC and supercomputing power national-scale AI

* What quantum could unlock for government programs and where HPE fits

If you care about trusted AI for cities, states, and national labs, this one is worth a watch.

Full interview now live!!!!

#data #ai #hpe #nvidiagtc #gtc2025 #gpu #sovereign #nvidia #theravitshow