The Ravit Show

The biggest thing slowing down AI in your company? It's probably the data access process — not the models. In my conversation at Snowflake Summit, Matthew Carroll, CEO of Immuta, on The Ravit Show laid it out plainly: AI won't scale if your access model is still built around tickets and manual approvals.We explored:- The moment companies realize their current systems can't keep up- Why Immuta is doubling down on agentic data provisioning- What the future looks like when every access request isn't a bottleneckThis one is especially relevant for CDOs, CISOs, and data leaders under pressure to move faster without compromising on control.#data #ai #snowflakesummit2025 #immuta #theravitshow

AI agents are here — but can they access the data they need? I spoke to Moritz Plassnig, Chief Product Officer at Immuta on The Ravit Show, at the Snowflake Summit 2025 to talk about the evolution of data access in the enterprise.We covered:-- What's actually happening on the ground (not just the hype)-- Why access delays still plague data teams-- The growing role of data products and marketplaces-- And what happens when AI agents — not humans — start consuming data autonomouslyMo shared a sharp perspective on how access must shift from reactive to proactive, especially in large enterprises where scale and safety are both non-negotiable.#data #ai #snowflakesummit #immuta #theravitshow

As AI adoption grows, one thing is becoming clear — governance can't stay static. At Snowflake Summit 2025, I spoke with Paul Myres, PMP, Field CTO at Immuta on The Ravit Show, about how traditional governance models are struggling to keep up with the sheer volume and velocity of data access in the AI era.We dug into:-- How the nature of data access is changing as AI agents and workflows scale-- Why many governance frameworks are too rigid to support fast-moving use cases-- What “AI-ready” governance actually looks like — and how it's different from legacy approaches-- And what data leaders can do today to prepare for what's nextPaul had sharp, practical insights on how to build governance that adapts in real-time — not just reacts after the fact.If you're navigating compliance, access, and AI at scale — this is one conversation worth watching.#data #ai #snowflakesummit #immuta #theravitshow

The Neo4j + Snowflake integration is now generally available — and it's a big moment for the graph community. At Snowflake Summit 2025, I caught up with Matt Connon to talk about what this milestone really means for enterprise customers, and why now is the perfect time to bring graph analytics directly to where the data already lives.We explored: • The rise of graph as a critical piece of the modern data stack • How this integration simplifies adoption — no data movement, no extra overhead • What customer demand looks like now that the solution is live (spoiler: it's real and it's growing) • Why industries like financial services, cybersecurity, and healthcare are leaning into graph use cases faster than ever • And what's next in the Neo4j–Snowflake journey, including deeper cloud-native accessibility and more AI-ready innovationsMatt shared clear, customer-first insights that make it easy to understand where this is going — and why graph is no longer optional for data-driven businesses.#data #ai #graphanalytics #snowflakesummit #neo4j #analytics #theravitshow

What happens when you bring graph analytics directly to your Snowflake data — without moving a thing? At Snowflake Summit 2025, I sat down with Anurag Tandon from Neo4j on The Ravit Show to talk about a major milestone: Graph Analytics for Snowflake is now generally available. This is a significant shift — not just technically, but strategically — for how enterprises unlock value from deeply connected data.We explored:-- What this launch means for customers already using Snowflake as their single source of truth-- How Neo4j's native integration removes the need for data movement or duplication-- The kinds of use cases this now makes possible — from customer 360 to fraud detection and supply chain optimization-- And how graph analytics is evolving as data ecosystems grow more complex and interconnectedAnurag also shared his perspective on where this partnership is headed — and why Snowflake + Neo4j together are shaping what's next in intelligent analytics.If you're thinking about the next evolution of data insight — this one will give you a peek into what's coming.#data #ai #graphanalytics #snowflakesummit #neo4j #analytics #theravitshow

What does the Premier League, insightsoftware, and Vizlib - insightsoftware have in common? They're teaming up to make data more dynamic, accessible, and actionable — across one of the most-watched sports leagues in the world.At Qlik Connect, I sat down for a great conversation with:

What's holding back AI agent adoption in the enterprise? I had a great conversation with Tamar Yehoshua, President of Product & Technology at Glean, during Glean:GO—and we talked about exactly that.While AI agents are the buzz everywhere, the real blockers have been: • Lack of actionability • Siloed data • Complexity for non-technical usersGlean is changing that.Tamar walked me through their latest announcements—and it's clear they're not just building assistants, they're building agents that work across tools, take real actions, and are accessible to everyone.Some highlights from our chat: • Glean Agents are designed for action, not just answers. • You don't need to be technical—just describe what you want in natural language. • Interoperability is key. That's why Glean is focused on deep integrations and open systems. • Real-world impact is already here—from IT automation to faster onboarding, agents are saving time and making work simpler.And the next phase?Agents that go beyond tasks—becoming collaborators in how work gets done.Thanks Tamar for the inspiring conversation. Glean is not just talking about the future of AI agents—it's building it.#data #ai #agents #GleanGo #theravitshow

What does it really take to secure AI as it becomes part of the fabric of how we work? I had the chance to sit down with Sunil Agrawal, Chief Information Security Officer at Glean — and the company's first-ever CISO — to dive deep into this question.Sunil's perspective is clear: securing AI isn't about slapping on controls after deployment. It's about building secure AI by design — from prompt injection defense to real-time content protection and fine-grained governance.In our conversation, we covered a lot of ground:Why traditional security frameworks fall short for AI agentsHow Glean is preventing real-world attacks like jailbreaks and prompt injectionsWhy content awareness is key to managing sensitive data exposureWhat true visibility and control over agents looks like in the enterpriseWhy trust — not just compliance — is the new security currencyAnd how their new partnership with Palo Alto Networks is raising the bar on threat detection and posture managementWith over 100 million actions now executed by Glean's AI agents each year, it's no longer a hypothetical risk landscape — it's a live one.If you're responsible for security, IT, or AI strategy at your org, I highly recommend giving this interview a watch. It'll reshape how you think about governance, risk, and the future of work.Let me know what resonated with you — and if you're thinking differently about securing your AI initiatives after this.#data #ai #agents #GleanGo #theravitshow

What does it really look like to scale AI across an iconic organization?I had a fantastic conversation with Sharon Milz, CIO of TIME, at Glean:GO—where we explored what practical, responsible AI adoption looks like inside a company that's constantly evolving while staying true to its mission.Before Glean, Sharon's teams faced the same challenge many do:Too much content. Not enough context.Finding the right information—fast—was hard.Now? Search isn't just faster, it's smarter—showing up across sales, editorial, and leadership teams.Some key insights from our chat: • The Glean rollout didn't start as a massive IT project. It started with a team that needed a better way to work. • Trust, governance, and security weren't afterthoughts—they were table stakes. • Sharon looks for AI that delivers real value, not hype. Glean stood out because it worked in the flow of work. • And looking ahead? Sharon sees a world where AI agents move from surfacing answers to taking action—shaping the very workflows that power TIME.Loved this conversation. Sharon's leadership is a great example of what it looks like when AI meets real-world execution.#data #ai #agents #GleanGo #theravitshow

What makes AI agents actually work inside the enterprise?I had the chance to sit down with Jassim Latif, Head of Product Ecosystem at Glean, during the Glean:GO conference—and we went deep on exactly that.Jassim and his team are building more than just features—they're building the connective tissue that lets AI agents plug into the systems we all use every day. Glean already integrates with 100+ tools (think: Salesforce, Workday, Snowflake, Slack… the list goes on), and those connections are what make agents context-aware and actually helpful.A few key takeaways from our conversation: • AI isn't useful in isolation. Without integration, there's no context. Glean's approach to connectors is what breaks down the silos. • The vision is open and interoperable. That's why Glean is doubling down on partnerships and why recent integrations with Snowflake and Workday matter so much. • Glean's ecosystem isn't just growing—it's becoming a platform. Prebuilt agents, curated connectors, and opportunities for developers to build on top of it? That's the next frontier.If you're thinking about how to bring AI agents into your enterprise workflows, this is a conversation worth paying attention to.Thanks Jassim for the thoughtful discussion—and for helping bring the Glean ecosystem to life in such a powerful way.#data #ai #agents #gleango #theravitshow

What does it take to build a truly AI-ready data stack? At Qlik Connect, I sat down with Sam Pierson, SVP of the Data Business Unit R&D at Qlik, to talk about what's shaping enterprise data strategies right now.We covered a lot, including:— Why a strong data foundation matters more than ever in the agentic AI era— How Qlik's Open Lakehouse (announced at Qlik Connect) fits into that picture— The role of Apache Iceberg and what's ahead for its adoption in 2025— How the Qlik Talend Cloud and Open Lakehouse come together for customers— And how the data and analytics teams at Qlik align behind one shared visionIt was a timely conversation—especially as more organizations move from experimenting with GenAI to actually deploying it across workflows.If you're thinking about how to connect data, AI, and analytics more seamlessly… this is the kind of conversation worth following.What are you seeing in your own organization when it comes to AI adoption and data readiness?#data #ai #qlikconnect #agents #theravitshow

What does the future of open data architecture look like for enterprises? At Qlik Connect, I had the chance to sit down with Ori Rafael and dig into some big announcements that signal a shift in how modern data teams will work:— Open Lakehouse:Qlik launched its Open Lakehouse, built on Apache Iceberg. It's a step toward unifying real-time data access, open table formats, and full AI-readiness—without locking you into a vendor. It's designed for teams who want to move fast, stay open, and keep control of their data.— Upsolver acquisition:Qlik also quietly made a big move—acquiring Upsolver. This adds low-latency ingestion and smarter optimization to Iceberg workflows. It's a clear signal that Qlik is investing deeply in making Iceberg work in production for enterprise-grade use cases.— Scaling Iceberg:Ori shared that scaling Iceberg means solving for more than just storage—it's about governance, performance, and ecosystem compatibility. Qlik's platform aims to help data teams avoid piecing together half-baked solutions and instead offer something integrated.— What enterprise leaders care about:Many are excited about Iceberg because it brings structure, openness, and scalability together. Especially in environments where teams are juggling legacy warehouses, lakehouses, and emerging AI pipelines—it's a foundation they can build on.The data space is changing fast, and conversations like this one at Qlik Connect are a great way to understand where things are headed—and what decisions are driving it.What's your take on Iceberg in enterprise environments?#data #ai #iceberg #qlikconnect #theravitshow

What are customers really looking for in the age of AI?I asked Chris Powell, CMO at Qlik, during our conversation at Qlik Connect—and his answer was clear: it's no longer just about data access, it's about action.Across the floor, the message from customers was consistent: they want to move faster, connect more dots, and make smarter decisions—without adding more complexity. Chris walked me through some of the biggest announcements from the mainstage, including the Q3.65 implementation, which showcased just how far Qlik's portfolio can go when it's all working together.We also talked about what's next. What's going to be the real game changer? For Chris, it's about giving customers an integrated, AI-ready foundation that just works—end to end.And what does he hope people take away from Qlik Connect? Not just inspiration, but the confidence to move forward.#data #ai #agents #qlikconnect #theravitshow

What's standing in the way of GenAI adoption—and how are data leaders moving past it? At Qlik Connect, I spoke with Charlie Farah, Field CTO for Analytics and AI at Qlik, to unpack what's really happening in enterprise AI adoption right now.A few things stood out from our conversation:— Unstructured data is finally becoming usable.Charlie noted that we're seeing a shift—from collecting unstructured data to actually activating it. Enterprises are building new workflows around unstructured inputs like documents, emails, and chat, not just storing them for later.— IT and data teams still face friction.The biggest blockers to adopting AI and GenAI tools? Data quality, governance, and lack of context. It's not that companies don't want to use AI—it's that their data foundation isn't ready for it.— Agentic AI may change that.Agent-based models are creating a new layer of intelligence. Instead of relying on one-shot prompts, teams are starting to experiment with systems that can reason over data, adapt, and handle multi-step tasks. Charlie called out this shift as one of the most exciting evolutions for the second half of 2025.These insights aren't just theoretical—they're based on what Qlik is seeing across industries right now. If you're thinking about what's next for your AI roadmap, this is the kind of field perspective worth paying attention to.What's the biggest challenge your team is facing with AI adoption today?#data #ai #agents #qlikconnect #theravitshow

Just wrapped up a great conversation with Charles L., Chief Data and Analytics Officer at Reworld Waste, here at Qlik Connect 2025.Reworld has grown rapidly through acquisitions, which naturally brings a lot of complexity—different systems, plant locations, and sources of information. I asked Charles how they've approached building a unified data strategy across such a diverse organization.He shared how Reworld has been leveraging Qlik and Talend to bring all these data sources together and make them usable across teams. It's not just about centralizing data—it's about enabling better decisions, improving processes, and opening the door to real AI adoption across the business.Always interesting to hear directly from leaders who are navigating real-world data challenges and building for what's next.More on the Reworld and Qlik partnership#data #ai #qlikconnect #theravitshow

How do you build a single data strategy across theme parks, cinemas, and media? At Qlik Connect, I hosted Arul Arogyanathan, CIO at Village Roadshow, on The Ravit Show and we discussed about what it takes to lead data transformation across one of Australia's most iconic entertainment groups.A few things stood out: • Data governance is seen as an enabler—not a blocker—for agility and scale • Teams are empowered to act on data, not just consume it • Moving to Qlik SaaS has accelerated digital adoption across the business • Qlik Answers is helping staff embed intelligence into day-to-day decisionsThis wasn't just a tech conversation—it was about reshaping how people work, decide, and deliver impact in a fast-moving industry.If you're navigating multiple business models under one roof, there's a lot to take away from this one.#data #ai #agents #qlikconnect #theravitshow

I had the opportunity to speak with Dinesh Nirmal, Senior Vice President, IBM Software, and dive into a conversation that felt both timely and necessary.As GenAI continues to evolve—today it's agents, tomorrow it may be something entirely new—many companies are asking where to start. Dinesh made one thing clear: if your data is ready, you're ready for whatever comes next. That means not just storing data, but ensuring it's accessible, governed, and secure.We spoke about the latest in IBM watsonx.data—especially how it's tackling the challenges of unstructured data. From new features to ecosystem partnerships, IBM is doubling down on helping enterprises access, manage, and secure data more efficiently.In a crowded AI and data landscape, I asked Dinesh what truly sets IBM apart. His perspective? It's the combination of decades of enterprise expertise and a clear focus on being first, only, or best in the areas that matter most.We also unpacked IBM's commitment to being hybrid and open—and why that matters. Whether it's through Red Hat or integrations with tools like HashiCorp, IBM's approach is built for the complexity of real-world enterprise IT.More from this conversation will be shared soon. Until then—how are you preparing your data foundation for what's next?#data #ai #ibm #agents #IBMPartner #Think2025 #TheRavitShow

I'm here at IBM Think Boston—and what a kickoff with Partner Plus Day. I had the chance to sit down with Bo Gebbie, President of Evolving Solutions, to talk about how their partnership with IBM is helping clients navigate the evolving AI landscape.We explored what it really looks like when technology is simplified by people, for people. Bo shared how “people simplifying technology” isn't just a slogan—it's a mindset that's shaping the way they work alongside clients to make AI, automation, and IBM technologies more accessible and actionable.We also talked about what's on the minds of enterprise clients right now: how to use generative AI to not just experiment, but drive real value—and how IBM's ecosystem is playing a key role in making that happen.This was an insightful conversation about partnerships, trust, and the human side of tech transformation. What are you most curious about when it comes to Gen AI in the enterprise?#data #ai #ibm #agents #IBMPartner #Think2025 #TheRavitShow

As organizations accelerate AI adoption and digital transformation, outdated data management practices are becoming a liability.In this episode of The Ravit Show, I sit down with Kamal Hathi, SVP and GM, Splunk Products & Technology, to discuss the findings from Splunk's new report: The New Rules of Data Management: Creating Value in the AI Era.Key topics we covered:- Why unified data visibility is still rare—and how to fix it- The cost of unnecessary data movement in a federated world- How clean, well-managed data improves AI accuracy and security- Why leaders embracing federation, pipeline orchestration, and lifecycle management are outperforming across the boardThis conversation is a must-watch for anyone building resilient, AI-ready enterprise systems.#SplunkSponsored #Data #AI #TheRavitShow

That was one of the big questions I explored last week in my interview with Michael Fasulo from Commvault at RSA Conference.We had a great conversation covering:- What the Recovery Range really is and why it's different from typical security exercises- How AI is reshaping cybersecurity—both the wins and the new challenges it's creating- What CISOs are telling Commvault about the real roadblocks when it comes to implementing AI in security strategies- And what Michael sees coming next in this fast-changing spaceIt's clear that while AI is unlocking new levels of defense, it's also forcing security teams to think differently—especially about recovery.More conversations and takeaways from RSA coming soon.#ai #security #rsa2025 #commvault #theravitshow

I had the chance to experience it firsthand today at RSA Conference — inside the Recovery Range by Commvault.I also sat down with Gareth Russell from Commvault to talk about what's really on the minds of CISOs and enterprise leaders today. We talked about: • What Mission: Recoverable is really solving for • Why recovery is the new front line for security • What customers are most excited about right now • And what excites Gareth personally about where this space is headedIf you're at RSA this week, do yourself a favor: • Stop by Booth 5678 • Try out the Recovery Range • Book time with the Commvault team to hear what's next in cyber recoveryReal conversations, real strategies, and one of the best hands-on experiences at RSA.This interactive simulation — called Mission: Recoverable — isn't just a demo. It's a full-blown test of how ready you are when things go wrong. And I have to say, it's one of the most insightful and realistic exercises I've seen at any security event.Register here to try it yourself — https://www.commvault.com/events/rsa-2025#ai #security #rsa2025 #commvault #theravitshow

Let's talk AI—real challenges, real strategies. Had an insightful conversation with Shishir S., Senior Director of AI at Pythian, on The Ravit Show at Google Cloud Next 2025. We focused on the technical side of AI adoption—and it was packed with takeaways for teams navigating their own AI journey.We covered:-- The top challenges businesses face when implementing AI (spoiler: it's not always the tech)-- How to think about ROI and time-to-value when evaluating AI projects-- The different tracks enterprises can take — GenAI, AI Embed, AI Build — and how to decide what fits best-- And how AI workshops are helping organizations move from experimentation to executionIf your org is building or scaling its AI efforts, this one's worth a listen.Thank you Shishir and the Pythian team for joining us on #TheRavitShow!#data #ai #googlecloud #pythian #theravitshow

What stood out most at Google Cloud Next 2025? I had a great conversation with Paul Lewis, CTO, Pythian and Karen Pfeifer, CAIO on The Ravit Show, where we unpacked the biggest takeaways from the event — and dove straight into the topic everyone's buzzing about: AI Agents.We explored:- What's real vs. hype in the AI Agent space- How enterprises should think about AI adoption moving forward- And what trends are shaping the next wave of innovation in cloud and dataAlways fun and insightful chatting with leaders like Paul and Karen. If you're navigating the AI shift, this one's worth a watch.#data #ai #pythian #theravitshow

Live from Google Cloud Next 2025! Had the chance to sit down with Paul Lewis, CTO at Pythian, on The Ravit Show — and what a great conversation it was!We unpacked the key takeaways from Thomas Kurian's keynote, dove into how organizations can move from AI-curious to AI-enabled, and talked about what's next in the world of data and cloud.A huge congrats to Pythian for being named 2025 Google Cloud Databases Partner of the Year for North America — such a well-deserved recognition!It's always inspiring to hear how teams like Paul's are helping enterprises modernize with AI, build smarter systems, and make better decisions faster.If you're at #GoogleNext25 — come say hi!#data #ai #googlecloud #pythian #theravitshow

What's really holding enterprises back from scaling cloud, modernizing data, and enabling AI? I sat down with Jeff DeVerter and Ernest Solomon, Field CTOs at Pythian, on The Ravit Show at Google Cloud Next 2025 to unpack that very question.From cloud migration complexities to the real effort behind building modern data platforms — and enabling AI at scale — this conversation was packed with practical insights.And big shoutout to the Pythian team — just named Google Cloud Databases Partner of the Year for North America!

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Hot off the press from Google Cloud Next '25! I caught up with Jeanine Banks, VP & GM of Developer X at Google, on The Ravit Show right after the BIG reveal: Firebase Studio is here!Yes — Firebase Studio just dropped, and it's about to change how we build apps.Jeanine and I talked about: • How AI is reshaping the way software gets built — from concept to code • Why Firebase Studio was created and what it unlocks for developers • The rise of “vibe coding” — and why this new approach is more than just a trend • How developers can supercharge productivity and creativity by tapping into AIThe energy on the show floor is electric — and announcements like this are why.Big thanks to Jeanine and the Firebase team for sharing this breaking moment with us on #TheRavitShow!#data #ai #googlecloud #theravitshow

I had the pleasure of chatting with Arvind Jain, CEO & Co-Founder of Glean, on The Ravit Show — and what a powerful discussion it was.We dove into what's real vs. what's just hype when it comes to AI agents, and how truly intelligent agents are poised to reshape how enterprises operate over the next 5–7 years.We also explored: • How search has always been core to Glean's mission — and why that foundation enables more context-aware, intelligent AI experiences. • The power of Glean's connector ecosystem with 100+ SaaS apps — and why breadth of integration really matters in the modern workplace. • Their deep partnership with Google Cloud and how it brings real value to customers. • The barriers to AI adoption in the enterprise — and how Glean is helping to lower them.And of course, I asked Arvind what excites him most about the future of AI at work — his answer? You'll have to tune in to find out!Big thanks to Arvind and the Glean team for joining me during such an exciting week here at #GoogleNext25.#data #ai #googlecloud #glean #theravitshow

GenAI is evolving fast — and enterprises are feeling the pressure to keep up. That's why I was excited to sit down with Pankaj Dugar, SVP & GM at AI21 Labs, on The Ravit Show at Google Cloud Next '25!We talked about: • The biggest misconceptions enterprises still have about GenAI (hint: it's not just about the tech) • Where we really are on the enterprise adoption curve • What makes AI21's LLMs stand out in a crowded market — including their focus on private and secure deployments • And if you're a Fortune 500 CIO thinking about your GenAI strategy this year… Pankaj had some solid 30-second advice you won't want to missLoved this conversation — practical, insightful, and full of no-fluff takes on what's next for GenAI in the enterprise.Catch it on #TheRavitShow!#data #ai #googlecloud #ai21labs #theravitshow

How are leading tech companies joining forces to modernize AI infrastructure for the enterprise? At NVIDIA GTC, I had a great discussion with Vinay Samuel, Founder of Zetaris and Jeb Horton, SVP, Hitachi Vantara to dive into their exciting partnership—and how it's shaping the future of Modern Lakehouse AI.

That was the first question I asked Vinay Samuel, CEO of Zetaris on The Ravit Show when we caught up at NVIDIA GTC this week.We had an amazing discussion around:- Why Zetaris stands out from traditional databases and data warehouses- How it enables fast, efficient AI development- And why now is the perfect time for platforms like Zetaris to lead the charge- Also, discussed about their partnership with Hitachi Vantara, Equinix, and more!NVIDIA GTC was packed with innovation, and getting to dive into conversations like this made it even more special. Big thanks to Vinay for sharing his vision—and excited for what's next and the great announcements that are coming up!#data #ai #zetaris #theravitshow

One of the most insightful conversations I had at NVIDIA GTC on The Ravit Show was with Levon Sarkisian, Head of Solutions Architecture at Nebius.We talked about Nebius' bold expansion into the US market, where they're going head-to-head with some of the biggest names in cloud and AI infrastructure.Learn more about Nebius here -- https://lnkd.in/dkPmuhSaCheck out what Levon answered when I asked Levon to describe Nebius in just 3 words, his response captured their entire mission: We also discussed:

Building a cloud for AI is more than just stacking GPUs together—it requires deep software expertise and hardware innovation working in sync. At NVIDIA GTC, I had the chance to sit down with Gleb K. and Oleg Fedorov from Nebius to break down what it really takes to build a high-performance AI cloud from scratch.Gleb, leading the software side, shared insights into the complexities of AI cloud infrastructure, while Oleg, focusing on hardware, talked about the compute power needed to support today's AI demands.We covered:✅ What it means to be a "serial cloud builder" and how Gleb transitioned from managing data centers to architecting AI-first cloud solutions✅ Why an AI cloud is much more than just a collection of GPUs and how Nebius optimized for speed and efficiency✅ The key ingredients of “good compute” and what it takes to deliver top-tier performance in AI workloads✅ How Nebius and NVIDIA are working together to push the boundaries of AI infrastructureThis interview is about the software-hardware synergy that powers AI innovation and the future of AI cloud computing.#data #ai #nebius #nvidiagtc2025 #theravitshow

How do you turn powerful AI models into real-world impact—without the complexity? During NVIDIA GTC, I had the chance to speak with Dylan Bristot, Senior AI Product Marketing Manager, Nebius, on The Ravit Show about how Nebius AI Studio is bridging the gap between cutting-edge AI and enterprise readiness.Dylan walked us through:-- What Nebius AI Studio is—and how it's built to solve real challenges organizations face when implementing AI-- The core services that power the platform, from training and fine-tuning to deployment and scaling-- The diverse model ecosystem available on the studio and how Nebius decides which models to support-- The growing importance of open-source AI, and how Nebius is contributing to that evolutionWe also explored one of the most creative showcases at GTC: the “Street Fighter III AI Arena” demo. Beyond the fun and nostalgia, it demonstrates the real-world potential of vision models—and how AI can learn, adapt, and compete in dynamic environments.This was a deep dive into what it takes to make AI useful, usable, and scalable—while keeping the developer experience front and center.#data #ai #nvidiagtc #nebius #theravitshow

One of the highlights of my time at NVIDIA GTC? Sitting down with none other than Krish Naik—one of India's biggest voices in the Data & AI space and a powerhouse educator on YouTube.We had a deep, candid conversation about:— The future of AI Agents— Key takeaways from NVIDIA GTC— What's next in AI innovation— His new company (yes, something exciting is brewing!)— And his ongoing mission to make Data & AI education accessible to millionsKrish has taught and inspired an entire generation of data professionals—including many who tuned into The Ravit Show. Hearing his perspective in person was something I won't forget.If you're in Data or AI, you've probably learned something from him.Stay tuned—because his next chapter sounds even more impactful.#data #ai #nvidiagtc #theravitshow

When we talk about AI, we often focus on models, data, and compute. But here's a question we don't ask enough: What's connecting it all together?At NVIDIA GTC last week, I caught up with Praful Lalchandani, VP of Product for Data Center Platform and AI Solutions at Juniper Networks on The Ravit Show, and we unpacked something that's often overlooked—the networking layer powering the AI boom.Key highlights from our conversation:-- Why networking is not just plumbing—but a key strategic driver in AI-- Juniper's GPU-as-a-Service (GPUaaS): Making AI more cost-efficient and scalable-- The shift toward an open, multivendor AI ecosystem-- The evolving role of the AI data center and how Juniper is helping reshape itIf you're building or modernizing for AI, this is a conversation worth tuning into.Learn more about Juniper's approach to high-performance AI infrastructure: https://lnkd.in/dDUfQS4Z#data #ai #nvidiagtc #junipernetworks #theravitshow

Why do enterprises need AI platforms—and what separates a good one from the rest?On The Ravit Show during NVIDIA GTC, I had the opportunity to sit down with Thomas Been, CMO at Domino Data Lab, to unpack the evolving role of AI platforms in the enterprise and how Domino is stepping up to meet that need.We discussed:-- Why AI platforms are critical for scaling and governing AI across complex enterprise environments-- How Domino's approach is purpose-built for enterprise AI—balancing innovation with security, collaboration, and compliance-- The announcement of Domino Volumes for NetApp ONTAP (DVNO) and how it gives data scientists secure, seamless access to massive datasets-- Real-world use cases showing how organizations are accelerating AI outcomes across industriesAs AI becomes more integral to business strategy, platforms like Domino are helping companies move faster—with control.#data #ai #nvidiagtc2025 #dominodata #theravitshow

How do you make enterprise AI real—at scale, with speed, and without complexity? During NVIDIA GTC, I had a powerful conversation with Thomas Been, CMO at Domino Data Lab, and Andy Sayare, Director, Global Strategic Alliances, NetApp on The Ravit Show about how their partnership is helping enterprises unlock AI's full potential.We dove into:- The Domino + NetApp partnership and what it really means for enterprise AI teams- How joint customers are accelerating AI innovation through seamless access to data and scalable infrastructure- A closer look at real-world use cases that show measurable impact across industries- The role of NetApp ONTAP in simplifying and optimizing data access for AI workloadsAnd how this collaboration is helping teams move from experimentation to production AI—with speed and controlIf you're in the enterprise AI space, this one's packed with insights on how smart partnerships can drive serious outcomes.#data #ai #nvidiagtc2025 #dominodata #theravitshow

What does it really mean to operate above the stack in AI? I got to chat with Moiz Kohari, VP of Enterprise AI and Data Intelligence at DDN, to explore how intelligent automation—not just raw computing—unlocks AI's full potential.Moiz broke down how DDN's AI-native intelligence layer empowers enterprises to:- Accelerate AI workflows without the infrastructure complexity- Automate real-time data operations across fragmented pipelines- And most importantly—make faster, smarter decisions with AIWe talked about:- The critical role of data intelligence in scaling enterprise AI- How DDN unifies and simplifies AI operations across industries like financial services, life sciences, and autonomous systems- The measurable outcomes—10x faster decision-making, real-time orchestration, and business transformationMoiz also shared how DDN Infinia supports everything from LLMs to agentic and multi-modal AI—driving performance, scalability, and automation without the complexity.If you're serious about moving from experimental to production AI, this one's for you.#data #ai #ddn #nvidiagtc2025 #theravitshow

Is AI success really about compute—or is it about intelligence? On The Ravit Show during NVIDIA GTC, I had a powerful conversation with Izhar Sharon from DDN, where we unpacked one of the most important (and often overlooked) aspects of AI: the intelligence layer.While many focus on raw infrastructure, DDN operates above the stack—enabling enterprises to scale AI workflows, inference, and automation with intelligence, not just hardware.Izhar and I dove into: • Why data intelligence is the real key to unlocking AI's full potential • How DDN Infinia delivers the right data, at the right time, to the right model—for faster, smarter decisions • Solving enterprise AI challenges like workflow fragmentation, latency, and operational complexity • The shift from experimental AI to real-time, autonomous decision-making at scale • Real-world results: 10x faster decisions, seamless orchestration, and measurable business impact across industriesIf you're looking to make your AI truly production-ready—without the friction—this episode is a must-watch.#data #ai #ddn #nvidiagtc2025 #theravitshow

How do you take agentic AI from buzzword to real-world impact?That's exactly what I asked Prajakta Damle, Head of Product, DataRobot, on The Ravit Show at NVIDIA GTC this week.Prajakta has been working closely with NVIDIA to make it easier for developers and enterprises to build, scale, and deliver agentic AI—and our conversation was packed with practical insights, exciting use cases, and real talk for the developer community.We covered: • What DataRobot and NVIDIA are doing together to unlock the next wave of agentic AI • Real-world use cases that go beyond the hype—think intelligent agents that can analyze, act, and adapt • Advice for devs looking to build agentic AI apps, even if it feels overwhelming • And what Prajakta is most excited about at this year's GTCIf you're curious about what it really takes to make agentic AI work in the wild, you won't want to miss this one.#data #ai #datarobot #nvidiagtc2025 #theravitshow

What makes a company ‘minimally viable' in today's digital landscape? At Shift Cloud Summit by Commvault, I had an amazing discussion with Sarv Saravanan, Chief Customer Officer at Commvault and Tim Zonca, VP – Product Marketing at Commvault, about the Minimum Viable Company and how organizations can stay resilient in the AI-driven world.We explored:✅ How AI is changing data security threats✅ The relevance of traditional disaster recovery (RTO/RPO) in the cloud era✅ Whether companies are already adopting the ‘minimum viable company' model#data #ai #cloud #commvault #theravitshow

How are data recovery approaches evolving to support serverless architectures? I had a fantastic conversation with Poojan Kumar, Chief Product Innovation Officer at Commvault and Woon Ho Jung, Chief Technology Officer Cloud Native at Commvault, at the Shift Cloud Summit about harnessing the cloud for resilience and recovery at scale.We discussed:✅ The evolution of data recovery for serverless environments✅ How organizations can classify critical vs. non-critical data✅ Optimizing cloud costs with Clumio's architectureCloud resilience is more important than ever!#data #ai #cloud #commvault #theravitshow

How can organizations build resilience in the AI era? I had a great conversation with Govind Rangasamy, VP - Portfolio Marketing at Commvault, at the Shift Cloud Summit, where we discussed Advanced Resilience Practices for the AI Era.We covered key topics like:✅ Recovery as code in today's AI-driven world✅ How automated dependency discovery enhances recovery✅ The role of AI in transforming recovery strategies✅ How it all comes together in Cloud RewindGovind shared some valuable insights on how enterprises can strengthen their recovery strategies with AI and automation.#data #ai #cloud #commvault #theravitshow

How should organizations protect data in the AI era? At Gartner Data & Analytics Summit in Orlando, security and data governance are top of mind. I spoke with Murali Balakrishnan, Data Security Expert, and Ganesh Kirti (Hiring), CEO of TrustLogix, about the biggest security challenges organizations face today.We discussed data access governance, AI data protection strategies, and the guardrails needed for secure data movement across cloud and on-prem environments. Murli also shared insights on how data platform owners can collaborate effectively with security teams.#GartnerDA #GenAI #GartnerOrlando2025 #theravitshow

Why is data observability a must-have? I had an insightful conversation with Salma Bakouk, CEO & Co-Founder, Sifflet on The Ravit Show, about why data observability is no longer optional for businesses.We discussed why every organization needs a proactive approach to data quality, why data engineers shouldn't be solely responsible for it, and what companies can do to ensure trustworthy, reliable data for decision-making.As data complexity grows, having visibility into your pipelines is more important than ever.#GartnerDA #GenAI #GartnerOrlando2025 #theravitshow

Is your data infrastructure ready for AI? I had an insightful conversation with Drew Clarke, GM, Data Business Unit at Qlik, on The Ravit Show about the evolving landscape of data management and AI readiness. We discussed Qlik's recent acquisition of Upsolver (acquired by Qlik) and how it enhances low-latency data ingestion and optimization, particularly with Apache Iceberg. Drew also shared insights on modern data product strategies and how businesses can maximize value from their data.A key takeaway? AI success starts with data quality. We explored how companies can assess if their data is AI-ready using Trust Scores and how to balance data innovation with compliance and governance.For organizations looking to build a scalable, AI-driven data strategy, this conversation is packed with valuable insights!!!!#data #ai #gartnerorlando2025 #theravitshow

How is Agentic AI transforming analytics? I had a great conversation with Brendan Grady, GM, Analytics Business Unit at Qlik, on The Ravit Show about the future of AI-driven analytics.We explored how Agentic AI is reshaping decision-making, the role of generative AI in automating analytics workflows, and the steps organizations need to take to transition from traditional models to AI-driven insights. Brendan also shared key pitfalls to avoid when integrating AI into an analytics strategy.Please note — Qlik Connect is happening in May 13-15, 2025 you will hear from us again there!Learn more about Qlik Connect — https://www.qlikconnect.com/#GartnerDA #GenAI #GartnerOrlando2025 #theravitshow

At Gartner Data & Analytics Summit in Orlando, I spoke with Raj Bains, CEO of Prophecy on The Ravit Show, about why they're back at Gartner, the key data challenges they're solving, and how AI is playing a bigger role in modern data transformation. We also discussed their latest funding, real-world customer use cases, and what to expect from their panel discussion with Sanjeev Mohan on Wednesday: "The Impact of GenAI on Data Teams."#GartnerDA #GenAI #GartnerOrlando2025 #theravitshow

Is Data Fabric the key to solving AI challenges?I had a great chat with my good friend Kaycee Lai, Founder of Promethium, at Gartner Data & Analytics Summit in Orlando about the biggest trends shaping Data & AI today.We talked about why Data Fabric is the hot topic at the conference, what analysts and enterprise leaders are saying, and how companies are using Promethium to tackle AI and data challenges. Kaycee also shared some real-world use cases and what's next for Promethium.A must-watch for anyone thinking about the future of AI-driven data management!#GartnerDA #GenAI #GartnerOrlando2025 #theravitshow

Is your data ready for GenAI? I had a great conversation with Simon McVeigh, Global VP, Sales Engineering at K2view on The Ravit Show, about what it really takes to prepare enterprise data for Generative AI.We discussed the critical requirements for using data in GenAI projects, how to maintain privacy and security, and what's needed to scale AI initiatives successfully.Getting data AI-ready isn't just about access—it's about trust, governance, and scalability.#GartnerDA #GenAI #GartnerOrlando2025 #theravitshow