The Ravit Show

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 vision

It 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 decisions

This 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 board

This conversation is a must-watch for anyone building resilient, AI-ready enterprise systems.

#SplunkSponsored #Data #AI #TheRavitShow