The Ravit Show

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 bottleneck

This 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 autonomously

Mo 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 next

Paul 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 innovations

Matt 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 interconnected

Anurag 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:

🎙️ Steve Palmer, Head of Data Solutions at the Premier League

🎙️ Thomas Gorr, Director of Product Management at insightsoftware

We 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 journey

It’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 users

Glean 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 agents

How Glean is preventing real-world attacks like jailbreaks and prompt injections

Why content awareness is key to managing sensitive data exposure

What true visibility and control over agents looks like in the enterprise

Why trust — not just compliance — is the new security currency

And how their new partnership with Palo Alto Networks is raising the bar on threat detection and posture management

With 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