The Ravit Show

What happens when enterprise-grade AI visualization meets on-prem reality? I sat down with Leo Brunnick, Chief Product Officer at Cloudera on The Ravit Show, to talk about a major shift: bringing Cloudera Data Visualization to on-prem environments.We got deep into:-- Why now? What pushed Cloudera to extend this capability beyond the cloud-- How AI Visual and natural language querying are finally breaking barriers for non-technical users - right at the source-- The actual features that make this visualization layer powerful—not just dashboards, but intelligent, explainable insights-- Real business impact: we talked through use cases where organizations are solving high-stakes problems by giving their teams access to AI-powered visualizations on-prem-- And most importantly—where this is all headed. Leo shared a vision that includes GenAI, real-time visualization, and enabling large enterprises to move faster, smarter, and more transparently with their data-- The future of enterprise BI isn’t about choosing between cloud or on-prem. It’s about bringing AI to wherever the data livesIf you're navigating complex environments or looking to scale AI-driven insights inside the firewall, this conversation is worth your time.#data #dataviz #ai #cloudera #theravitshow

During GraphSummit London, Neo4j put $100M to become the default knowledge layer for agentic systems. I spoke with Sudhir Hasbe, President & Chief Product Officer at Neo4j to break it down.What we covered* The $100M push. Why Neo4j is betting on graph as the knowledge layer for agentic systems* Graph Intelligence. Turning disconnected data into explainable context your agents can trust* Aura Agent. Build, test, and deploy agents on your graph data in minutes. Early access now. GA in Q4* MCP Server for Neo4j. A cleaner path to add graph memory to the agents you already run* Use cases. Fast wins in healthcare R&D, procurement and supply chain, and financial operations* What’s next. GA timelines, first milestones, and how customers will measure impactWhy it mattersMost pilots fail without context and memory. Graphs give agents structure, reasoning, and traceability. That is how you ship production outcomes, not demos.#Neo4j #GraphSummit #GenAI #AgenticAI #GraphIntelligence #TheRavitShow

I had a blast at GraphSummit by Neo4j yesterday in London. I spoke to Michael Hunger on The Ravit Show and we went deep on Neo4j’s $100M GenAI push and what it means right now. Neo4j Aura Agent: Create Your Own GraphRAG Agent in Minutes — https://bit.ly/3KTjxlJWe discussed about these developments in the interview • How this investment helps teams move past stalled pilots and get real results on production data • Aura Agent explained in plain language, with the first two use cases to try for fast wins • MCP Server for Neo4j and how it lets existing agents plug into graph memory with natural language and text to query • What “default knowledge layer” looks like on day one, including how to keep results explainable and traceable • Timelines and signals to watch as Aura Agent and the MCP Server move to GA in Q4The interview is live now. If reliability, speed, and explainability are on your roadmap, you will find this useful.#data #ai #neo4j #graphs #theravitshow

I had a blast at Neo4j's GraphSummit in London. I also got a chance to speak with Jesús Barrasa, AI Field CTO about the following topics -- - Customer Use Cases, - Challenges Enterprise Leaders Face - New Book about Graphs and more#Neo4j #GraphSummit #Infinigraph #GenAI #AgenticAI #GraphIntelligence #TheRavitShow

AI at massive scale needs a graph engine that does not blink at 100 TB. Enter Infinigraph.I had a blast at GraphSummit, London, I spoke to Ivan Zoratti, VP Product Management, Neo4j to dig into the Infinigraph announcements and what they unlock for real workloads.What we covered* What Infinigraph is and who needs it now* Property sharding in plain terms. How data spreads across nodes without losing graph semantics* One engine for ops and analytics. How HTAP stays fast without starving either side* Migration path for current Neo4j users. What carries over and what to plan for* Where it shines at 100 TB and up. Boundaries, guardrails, and real results on speed and cost* Timelines to ship and what this means for agentic AI nextWhy it mattersBigger graphs with lower latency change what agents can do. If you want real-time reasoning on live data, the storage and compute model must scale without falling apart.Watch if you care about scale, cost, and a clean path from today’s Neo4j to what is coming next.#Neo4j #GraphSummit #Infinigraph #GenAI #AgenticAI #GraphIntelligence #TheRavitShow

When someone builds the foundation of modern streaming, every insight counts.At Data Streaming Summit 2025, I spoke with Sijie Guo, Co-founder and CEO of StreamNative, about how real-time data is reshaping the way companies move and act on information. Sijie shared how StreamNative continues to evolve Apache Pulsar’s mission — giving teams the ability to process, store, and serve data in motion with performance and simplicity.We talked about what’s next for the streaming world. Over the next year, Sijie expects deeper convergence between streaming and AI, where real-time pipelines become intelligent enough to drive automated decision-making across industries.He also emphasized how this summit stood out for its openness — not just a product showcase, but a true ecosystem of technologies working together. His favorite track? The Streaming Lakehouse discussions, where unifying data and streaming meets real-world scalability.The conversation captures where the future of streaming is heading — and how StreamNative is helping enterprises get there faster.#data #ai #datastreaming #streamnative #theravitshow

Real-time data isn’t just fast—it’s collaborative. At Data Streaming Summit 2025, I spoke with Rayees Pasha, CPO, RisingWave, a key partner of StreamNative, about how streaming ecosystems are evolving together instead of in silos. Rayess shared how RisingWave’s real-time database helps teams run complex analytics directly on live data, and how their partnership with StreamNative brings true interoperability to customers.We discussed the future of streaming over the next year, where streaming meets AI, and intelligent pipelines start driving automated, data-driven actions. He also appreciated the summit’s open and multi-technology approach, which encourages collaboration rather than competition.His favorite moments came from the AI + Stream Processing track, where discussions focused on turning streaming data into real-time intelligence.This conversation captures how openness and partnership are powering the next wave of streaming innovation.#data #ai #streamnative #datastreamingsummit #theravitshow

Real time without the noise.At Data Streaming Summit 2025, I spoke to Matteo Merli, Co-founder and CTO at StreamNative. We talked about why streaming matters now and what his team is building to make data in motion simple, scalable, and open. Matteo expects the next 12 months to be about streaming meeting AI in practical ways. Think instant enrichment, faster feedback loops, and agents that act safely on live context.He liked the summit’s open, multi-technology format. It mirrors how real systems get built. His favorite threads connected Architectural Innovations with AI plus Stream Processing and the Streaming Lakehouse story.Catch the conversation to hear Matteo’s take on where streaming is headed and why openness across the ecosystem will decide who moves fastest.#data #ai #streaming #datastreamingsummit #theravitshow

From the floor of Data Streaming Summit 2025, I had the chance to sit down with Ashwin Raja from Motorq, a StreamNative customer, to talk about the real-world impact of streaming.Ashwin shared how his team turns live vehicle signals into immediate decisions, where waiting even a few minutes is not an option. Batch systems couldn’t keep up, so Motorq leaned into StreamNative to build reliable pipelines, manage costs, and move from event to action with confidence.We spoke about what excites him most over the next year: the intersection of streaming and AI, smarter enrichment, anomaly detection, and agents acting safely on live data. The Streaming Lakehouse vision also stood out, making analytics-ready data available without extra hops.Ashwin appreciated the open, multi-technology approach of this summit, which mirrors how real systems get built. His takeaways and reflections are in the episode now, watch the full conversation to hear how Motorq is shaping the future of connected-vehicle data with streaming.#data #ai #datastreamingsummit2025 #streamnative #theravitshow

AI that can actually help you build. I had a blast interviewing Vojta Tuma, Field CTO at Keboola, on The Ravit Show, we discussed AI assistants and MCP for data engineering!Here are a few key takeaways — • MCP turns a chatbot into a teammate. It can use tools, call APIs, and take actions. That is why it matters for engineers. • New workflows open up. You can sketch a pipeline in conversation, run a job, debug a failure, or trigger a transform from one place. • Safety is built in. Step by step permissions. Full logs. Reviews and approvals before changes go live. Propose a fix, dry run it, then merge. • The result is faster work without losing control. Less glue code. More time on the real problems.Let developers, analysts, and data engineers ship faster—AI handles the heavy lifting, Keboola keeps it reliable -- https://bit.ly/46Fkvt1Don’t forget to follow Keboola!!!!#data #ai #keboola #mcp #theravitshow