The Ravit Show

I spoke with Tim McIntire, EVP and CTO, Hyland on The Ravit Show about one of the biggest questions enterprises are facing today: how to scale AI agents responsibly and effectively!!!!Tim shared that the real challenge is not just building the agents, but preparing the right foundation for them to operate at scale. Without trusted data and thoughtful governance, AI agents risk creating more problems than they solve.Hyland is working with customers to put that foundation in place, ensuring AI agents are embedded into workflows in a way that augments people rather than replaces them. The focus is on collaboration between humans and agents, not competition.Looking ahead, Tim sees AI agents becoming much more integrated into day-to-day operations within the next one to two years. Success will come to those enterprises that can strike the right balance: equipping agents with data they can trust, while maintaining transparency and control for the humans who rely on them.The future of AI is not just about agents running faster, it is about building systems where people and AI can work better together.I can't wait to meet again at the COMMUNITYLIVE next week in Vegas!!!!#data #ai #ai4 #hyland #theravitshow

Everyone's excited about GenAI — but building real, reliable agents? That's where it gets tricky. I chatted Holly Smith and Nick Karpov from Databricks at the Data + AI Summit on The Ravit Show to talk about the tools that are actually making agentic AI work in the enterprise.We covered two big launches:

How do you modernize data management while keeping the reliability of the mainframe?This was the central theme of my conversation with Tomer Zelberzviq, Senior Product Manager at BMC Software. Mainframes have been the backbone of enterprise IT for decades, but today's cloud-driven environment demands scalability, cyber resiliency, operational efficiency, and compliance at a whole new level.In this interview, Tomer and I discussed:-- Why modernization is still a major challenge for enterprises running on mainframes-- How technologies like Cloud Data Sets are changing the game for security, resilience, and cost efficiency-- Strategies to protect mainframe data against ransomware and cyber threats-- How to make mainframe data accessible for AI and analytics, eliminating silos without disrupting core systemsThis session goes beyond buzzwords. It's about real solutions that help enterprises bridge legacy reliability with modern innovation.#data #ai #mainframes #bmc #theravitshow

AI doesn't work without the right data layer. And that's why Lakebase is turning heads this year. I had a blast chatting with Holly Smith and Nick Karpov from Databricks at the Data + AI Summit, where we dug into some of the most exciting (and most technical) announcements from this year — especially Lakebase.We unpacked why Lakebase is such a big deal:• It's not just another feature — it's about making the database layer finally work for AI.• Traditional databases weren't built for the scale, speed, or flexibility that production AI agents demand — Lakebase is changing that.• We also talked about the Neon acquisition — and why it's generating so much buzz in the data community.From a data engineer's lens, the big question is always: Does this make my job easier?Lakebase, combined with AI-native platform features, is a big step toward faster, cleaner AI project delivery.Holly and Nick also gave me a look at what's coming with Spark Declarative Pipelines — bridging declarative simplicity with real developer control.Big thanks to both for the great chat.#data #ai #DataAISummit #databricks #theravitshow

Privacy, governance, and security — three things that are becoming even more critical as AI goes mainstream. I spoke to Anshu Sharma, Co-Founder & CEO of Skyflow, at Data + AI Summit on The Ravit Show to talk about where the market's heading and how enterprises are thinking about secure AI adoption.We covered:

I had a chance to interview one and only Jeff Lunsford, CEO of Tealium, at the Data + AI Summit, and we had a real conversation about what it actually takes to deliver AI-powered customer experiences. One key takeaway: AI is only as good as the data feeding it — and that data needs to be real-time, consented, and privacy-compliant. That's where Tealium comes in.We spoke about the launch of CloudStream and how it's helping enterprises push clean, event-driven customer data into platforms like Databricks without delays or duplication.Jeff also shared how Tealium's working with Databricks to close the gap between marketing data and AI — making it easier for teams to build smarter, faster, and more responsible experiences.Always great to dig into how different layers of the stack come together.#data #ai #tealium #DataAISummit #agents #cdp #databricks #theravitshow

One of the most honest conversations I had at Data + AI Summit by Databricks was with Sally Liu (Machine Learning Engineer at Kumo) and Raymond Yao (Coinbase) — two people building and applying AI where it really matters. Learn more -- https://kumo.ai/?utm_source=ravit&utm_medium=influencer&utm_campaign=snowflake_databricks2025&utm_term=the_ravit_showWe talked about:- The biggest opportunities and roadblocks in deploying machine learning at scale — across both platforms and real-world fintech- What's getting their attention beyond LLMs — including models and infrastructure they believe are next- The real talk on ROI — not every AI project pays off, so we dug into which efforts have actually delivered business impact- And that eternal question: build vs. buy? Their perspectives on when to lean on in-house innovation vs. external tools were refreshingly groundedIt's always great to hear from folks who are in the trenches, balancing experimentation with results.#data #ai #DataAISummit #databricks #kumo #agents #machinelearning #theravitshow

Clean data isn't just nice to have — it's the difference between insight and noise. At Databricks' Data + AI Summit, I had a conversation with Sal Pecoraro about how Data Axle is helping enterprises make their data not just accessible, but actionable.We covered a lot of ground, including:- Their new presence on the Databricks Marketplace, and what that means for seamless access to high-quality, enriched datasets- Why data quality is central to any CDP initiative — and how it directly impacts customer understanding and segmentation- The move to first-party data strategies, and how companies can maximize the value of what they already own- The evolution of data marketplaces and why they're becoming a key pillar in modern data architecture- Misconceptions around data enrichment, especially when it comes to scale and relevanceSal brought clear, grounded advice that any data leader should pay attention to. #data #ai #DataAISummit #databricks #dataaxle #agents #identity #theravitshow

Customer identity is more than a profile — it's a foundation.I recently chatted with Marc Sabatini at Databricks' Data + AI Summit to unpack why identity resolution is fast becoming the backbone of effective marketing strategies.Marc introduced me to the concept of the “Identity Spine” — a unified thread that connects all customer interactions and behaviors. In a world of rising privacy expectations and the fall of third-party cookies, this kind of consistency is more valuable than ever.We dug into:- How a strong Identity Spine helps unify customer data and drive real ROI- Why so many transformation projects stall, and what it takes to get them back on track- What it means to actually activate identity across an enterprise, not just store it- Emerging martech trends for the next 12–18 months — and how Data Axle is preparing for what's nextGreat perspective from someone who's seen the strategy behind the buzzwords. Watch the full interview here#data #ai #DataAISummit #databricks #dataaxle #agents #identity #theravitshow

Had a great conversation with Eric Pité, SVP of Product & Strategy at Posit PBC (formerly RStudio) on The Ravit Show, at the Data + AI Summit by Databricks.We talked about:-- The evolution from RStudio to PositIt's more than just a name change — it's a signal of how seriously they're embracing Python while staying true to their R roots and open-source mission.-- Open source meets enterpriseEric shared how Posit is navigating the balance between community contribution and commercial sustainability — and why that mission still matters in an AI-first world.-- Positron + DatabricksTheir strategic partnership is one to watch. Positron is making it easier to do high-quality data science (in R and Python) inside the Databricks ecosystem — with an emphasis on collaboration, reproducibility, and performance.-- AI's place in modern data scienceWe chatted about how Posit sees the role of AI in helping data teams be more productive — without losing rigor or transparency.-- The power of storytelling with codeOne of my favorite parts: the emphasis on communication. It's not enough to build models — data scientists need to share insights clearly, and Posit is building for that.Big thanks to Eric for the thoughtful chat — and to the Posit team for continuing to push the boundaries of open, collaborative data science.#data #ai #DataAISummit #Databricks #cdata #agentic #connectors #theravitshow

Every year at Data + AI Summit, there's a shift in energy — and this year, it's clear: AI is in production, and the spotlight is finally on the data layer. Caught up with my friend Raj Bains, CEO & Co-Founder of Prophecy on The Ravit Show, to talk about what's changed — and how their mission to combine self-service with governance is resonating more than ever.We covered:-- Why “democratizing AI” isn't just a nice phrase — it requires a platform that prepares the room with the right guardrails-- Real-world traction with JPMC and Amgen — and how success turned into investment-- What it really takes to build a production-ready, governed data pipeline in under 10 minutes (hint: it's not just speed, it's control)-- Their early agentic AI features helping analysts find and transform data with smarter guidanceRaj also shared what's changed in the past year — a clear push across customers to modernize, consolidate legacy tools, and go deeper with AI features.Lots of energy around Prophecy this year — and for good reason.#data #ai #DataAISummit #Databricks #prophecy #agentic #connectors #theravitshow

How do you modernize data management while keeping the reliability of the mainframe?This was the central theme of my conversation with Tomer Zelberzviq, Senior Product Manager at BMC Software. Mainframes have been the backbone of enterprise IT for decades, but today's cloud-driven environment demands scalability, cyber resiliency, operational efficiency, and compliance at a whole new level.In this interview, Tomer and I discussed:-- Why modernization is still a major challenge for enterprises running on mainframes-- How technologies like Cloud Data Sets are changing the game for security, resilience, and cost efficiency-- Strategies to protect mainframe data against ransomware and cyber threats-- How to make mainframe data accessible for AI and analytics, eliminating silos without disrupting core systemsThis session goes beyond buzzwords. It's about real solutions that help enterprises bridge legacy reliability with modern innovation.#data #ai #mainframes #bmc #theravitshow

I caught up with Rahul Pahuja from CData Software to dive into how they're helping enterprises unlock more value from their data inside Databricks — especially as companies push harder into AI and agentic workloads.Here's what stood out from our conversation:

Spoke with Amit Sharma, CEO of CData Software, at the Data + AI Summit on The Ravit Show, and we dove into a critical but often overlooked topic: data connectivity for AI agents. With the rise of agentic AI, the old ways of integrating data just don't cut it. Amit broke down why real-time, context-aware access is now a must — and how CData is helping lead that shift.We talked about:-- The Model Context Protocol (MCP) — a powerful new way to serve up enterprise data to LLMs and agents without building brittle pipelines-- Why CData's approach to live connectivity is a better fit for GenAI use cases than traditional ETL-- Where agents are being adopted first, based on early traction with their MCP servers-- And the biggest misconception he sees: thinking that LLMs can work well without solving the data access problem firstIf you're thinking about scaling AI agents across your enterprise, this conversation is worth a listen.#data #ai #DataAISummit #Databricks #cdata #agentic #connectors #theravitshow

What does it really mean to be “agentic-ready”? On The Ravit Show, I had an insightful conversation with Aakarsh Kishore, Chief Product Officer at MathCo, at the Data + AI Summit, and we unpacked what that looks like in practice.We explored:-- Contextual solutions — and why understanding enterprise context is key to building AI agents that actually deliver value-- The concept of a “supercharged brain” — MathCo's vision for decision intelligence that goes beyond dashboards and reports-- NucliOS — MathCo's AI decisioning platform that plugs into the Databricks Data Intelligence Platform to help enterprises scale decision-making across teamsAakarsh also shared how the MathCo + Databricks partnership is shaping real-world use cases — and how they're thinking about AI that's both scalable and deeply enterprise-aware.#data #ai #databricks #DataAISummit #theravitshow

I had a great conversation with Steven Touw, CTO of Immuta, at the Databricks Data + AI Summit — diving deep into one of the most overlooked challenges in scaling AI: data access.We started with a key question — why are traditional request-and-approve workflows no longer working for modern data teams?Steve broke it down: with more users, more data sources, and faster decision cycles, manual processes create friction, slow teams down, and often lead to over-permissioning or shadow access.We explored how policy-based access control is emerging as the scalable, secure alternative — automating who gets access to what, under which conditions, in real time.Steve also shared how Immuta is helping enterprises balance flexibility and control — enabling faster AI development without compromising on governance, compliance, or data privacy.This shift in thinking is critical for any company looking to unlock the full value of their data while keeping it safe.Appreciate the insights, Steve!!!!#data #ai #DataAISummit #Databricks #immuta #agentic #connectors #theravitshow

GenAI didn't just change how we work — it changed who has access to data. I sat with with Matthew Carroll, CEO of Immuta, at Data + AI Summit by Databricks, and we talked about one of the biggest shifts happening in data right now: everyone in the org is suddenly a data user — whether governance teams are ready for it or not.We covered:- How to scale governance without becoming a blocker- What happens when a marketing manager can chat with a database in plain English — and how to keep control without killing the magic- Why writing one-off policies for each GenAI use case is a fast path to chaos- And the real difference between self-service with guardrails vs just opening the floodgatesMatt had strong views on where policy management needs to go — and how Immuta is helping orgs strike the right balance between agility and accountability.Always a blast hosting, Matthew Carroll on The Ravit Show!!!!#data #ai #datasecurity #immuta #theravitshow

AI in the public sector isn't just about innovation — it's about trust, access, and doing it right. On The Ravit Show, I had the opportunity to speak with Chris Brown, Public Sector CTO at Immuta, at the Data + AI Summit — and we delved into what it takes to bring AI to government agencies without compromising on security or compliance.We talked about:- The reality of provisioning secure data access for AI when sensitive data and clearance levels are involved- How to move from manual approvals to automated, policy-based access — especially when “speed of mission” is non-negotiable- Real-world challenges like multi-classification data, contractor access, and inter-agency collaboration- And how Immuta is helping government orgs compress timelines while still meeting the strictest zero-trust requirementsReally appreciated Chris's perspective — thoughtful, practical, and rooted in what government teams actually deal with.#data #ai #DataAISummit #Databricks #immuta #agentic #connectors #theravitshow

That's exactly what I explored with my friend Harveer Singh, CDO, CDO, Consumer and small business banking at Truist Bank on The Ravit Show!We kicked things off with Truist's recent win — Innovation of the Year for Analytics and AI from American Banker. But the conversation went much deeper.We discussed: • How Truist is using AI to personalize banking across digital, retail, and SMB • The bank's framework for scaling data-driven decision-making across the org • Exciting use cases in lending, fraud detection, and real-time contextual insights • How they're supporting small businesses with smarter, more relevant data products • And why responsible AI governance isn't optional — it's built into the way they workHarveer brought such a grounded and strategic take on what's really required to make AI deliver value inside a large enterprise — from culture to architecture to execution.hashtag#data hashtag#ai hashtag#snowflakesummit hashtag#theravitshow

I had to catch up and chat with my friend Sarang Bapat, Director Data Analytics and Governance, Mitsubishi Electric Trane US on The Ravit Show to talk about three topics every data and AI leader is thinking about right now:We dove into some of the most urgent conversations happening in boardrooms and data teams right now: ➡️ What's really holding back AI adoption inside enterprises ➡️ Why data governance is being redefined — and fast ➡️ How data quality and literacy are no longer optional in a GenAI worldThis wasn't just theory — it was real, practical insight from someone who's been in the trenches of AI enablement at scale.This one's worth a listen if you're navigating the intersection of AI, governance, and data strategy.

Everyone's talking about GenAI, RAG, and agents — but how much of it is solving real enterprise problems? Here at Snowflake Summit 2025, I spoke with Hema Raghavan, Co-Founder, Kumo on The Ravit Show — and this one cut through the noise.We talked about why: • Personalization isn't a “nice-to-have” anymore — it's the only way to cut through information overload • LLMs can't do it all — and where they fall short for enterprise-grade predictive modeling • Many companies are still stuck using 20-year-old ML methods — and what's holding them back • RAG is everywhere, but agents are changing the game — and exposing its limits • The future of enterprise AI lies in structured data — and how ignoring it is costing companies real ROIHema's perspective is technical, clear, and refreshingly honest. This conversation wasn't about trends — it was about what needs to change to make AI truly useful for business.#data #ai #snowflakesummit #kumo #theravitshow

How do you modernize an entire industry — not just with software, but with intelligence? That's the story behind this conversation I had at Snowflake Summit 2025 with Andrew Albert from Left Main REI and Pranabesh Sarkar from Altimetrik.We unpacked a real-world digital transformation — one that starts with a business problem and ends with real estate professionals making smarter, faster decisions.Andrew spoke candidly about why a purpose-built CRM platform was essential for the industry and what led them to rethink how agents access and use data.Pranabesh walked us through how the team engineered a solution that pulls together multiple first- and third-party data sources — and how predictive AI now powers that unified platform.What stood out? This isn't a generic AI story. It's targeted, intentional, and already making a difference on the ground.We closed with reflections on what's next — for the partnership and for the broader future of AI-driven decision-making in the real estate sector.If you care about turning data into action (not just insights), this is a conversation you'll want to catch.#data #ai #snowflakesummit2025 #altimetrik #theravitshow

It's always great to get past the buzzwords and into what's actually working. Here at Snowflake Summit 2025, I spoke to Mihir Panchal, VP - Data Partnerships and Solutions, Altimetrik on The Ravit Show to talk about the real impact of the Altimetrik–Snowflake partnership.We talked about how this partnership is showing up in the real world — not just in strategy decks, but in how teams are solving real customer problems together.Then we got into:-- Partnership between Snowflake and Altimetrik-- A joint customer story that shows what's possible when you align on outcomes, not just technology-- Practical use cases where data and AI are driving value on the ground — especially in areas like predictive analytics and real-time insights-- And what's next for the partnership as more enterprises move from experimentation to production with GenAIThis one is a solid peek behind the scenes of a collaboration that's not just strategic — it's delivering.#data #ai #snowflakesummit #altimetrik #theravitshow

There's no shortage of AI hype out there right now. Everyone's got a demo, a framework, or a promise. But very few are moving beyond the pilot phase and delivering real results. At Snowflake Summit 2025, I got a chance to speak with Adam Caplan, President of Digital Business & GenAI at Altimetrik on The Ravit Show, for a grounded, honest conversation about what it takes to make GenAI work at scale — and how Altimetrik is doing just that.We got into:-- What actually makes Altimetrik's AI-first approach stand out-- How they're helping clients escape “pilot purgatory” and launch in production-- The trends shaping enterprise AI adoption — and where expectations are shifting-- Partnerships with players like Snowflake and OpenAI that are turning strategy into outcomes-- And what it really takes to build GenAI solutions that are fast, scalable, and responsibleAdam brought clarity and perspective — and a sharp take on where the biggest opportunities lie for enterprise leaders right now.This one's for anyone navigating the space between hype and execution.#data #ai #snowflakesummit2025 #altimetrik #theravitshow

Great partnerships don't just align on vision — they deliver on execution. This week at Snowflake Summit 2025, I sat down with Andy Iyengar, Qlik and Andrew Helgeson, Snowflake to talk about how this collaboration is helping enterprises unlock speed, flexibility, and intelligence across their data landscape.This partnership has gone beyond integrations — it's now enabling customers to:- Tap into real-time analytics and governed data with confidence- Embrace Open Lakehouse architectures and Snowflake-managed Iceberg tables- Explore advanced AI use cases like Retrieval-Augmented Generation (RAG) via Snowflake Cortex- And build modern, multi-cloud environments that scale without frictionWe also talked about Qlik being named Snowflake's 2025 Data Integration Partner of the Year — and what makes this recognition so meaningful.If you're thinking about what “AI-ready” data actually looks like in production, this one's for you.#data #ai #snowflakesummit #qlik #theravitshow

AI agents in data aren't just coming — they're already here. But the real story is what makes these agents trustworthy, developer-first, and actually useful for real-world teams. At Snowflake Summit, I caught up with Or Avidov, Co-founder and CPO at Elementary, to talk about their latest announcement — AI agents purpose-built for data teams on The Ravit Show.We dug into: • What makes these agents fundamentally different from the wave of AI tools we've seen so far • Why now was the right moment to build them • How Elementary is staying true to its developer-first roots, even while embracing GenAI • And how they're designing these agents with trust and guardrails built in from day oneWe also zoomed out to talk about what the next 12–18 months could look like for AI in the modern data stack — and what roles agents might play in helping teams move faster, spot issues sooner, and automate the grunt work.If you're building or running a data team, this one's worth a watch.#data #ai #snowflakesummit #elementary #theravitshow

At Snowflake Summit 2025, I got a chance to chat with Bill Stampfl and Pawan Vadulas from MathCo for a conversation that cut through the noise.We talked about:-- How their decision accelerator platform NucliOS is helping orgs operationalize AI faster-- Why their tagline "Own Your Intelligence" is more than marketing — it's a mindset-- How Snowflake plays a pivotal role in this ecosystem-- And why enterprise AI success depends on closing the gap between data teams and business outcomesThe energy at the MathCo booth said it all — there's real traction here. If you're thinking about AI enablement from strategy to execution, you'll want to catch this.Connect with MathCo to stay updated on their latest insights, innovations, and industry expertise:LinkedIn: https://in.linkedin.com/company/themathcompanyYouTube: https://www.youtube.com/@MathCOInstagram: https://www.instagram.com/themathcompany/#data #ai #snowflakesummit #MathCoxSnowflake #OwnYourIntelligence #NucliOS #MathCo #theravitshow

At Snowflake Summit 2025, I had an energizing conversation with Scott Sandschafer, CEO at Calibo on The Ravit Show, about a major shift in how we think about innovation.Today, business teams aren't just tech users — they're becoming builders.Scott shared how Calibo is enabling this shift through secure sandboxes, low-code/no-code tools, and a methodology-driven approach that empowers teams without sacrificing speed or control.We talked about what democratized innovation really looks like — and why it's becoming essential, not optional.⭐️⭐️⭐️⭐️⭐️ to the Calibo team — what they're building is bold, practical, and exactly what enterprise teams need right now. Truly a cool team doing cool work.If you're thinking about how to give your teams more freedom to create — without losing oversight — this one's for you.#data #ai #snowflakesummit #calibo #theravitshow

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