The Ravit Show

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:🎙️ Steve Palmer, Head of Data Solutions at the Premier League🎙️ Thomas Gorr, Director of Product Management at insightsoftwareWe talked about how the Premier League is using Qlik + Vizlib to empower analysts and decision-makers across clubs — and how insightsoftware is playing a key role in making that experience even more impactful.Here’s what we covered: — How insightsoftware enhances the Qlik ecosystem— How the Premier League transformed their data experience using Vizlib— Real business outcomes: faster insights, better storytelling, broader adoption— What’s coming next in the Premier League’s data journeyIt’s exciting to see how the right combination of tools and partnerships can turn raw data into meaningful outcomes.Thanks to Steve and Thomas for joining me on The Ravit Show!!!!#data #ai #qlikconnect #insightsoftware #theravitshow

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