Systems | Development | Analytics | API | Testing

Ep 73 | Out of This World AI: Inside Spaceflight with Jeanette Epps

Human spaceflight is one of the few domains in which data and human judgment must work together flawlessly under extreme pressure. That makes it a powerful lens for understanding what it takes to build resilient, intelligent systems here on Earth. In this Women Leaders in Technology spotlight episode of The AI Forecast, Paul Muller sits down with former NASA astronaut Dr. Jeanette Epps to explore what complex, high-stakes environments can teach us about AI.

Why Enterprise Data Strategy Must Start with Business Strategy

Learn what happens when the executive accountable for data strategy is also the executive accountable for the business results that depend on it. Saugata Saha, President of S&P Global Market Intelligence and Chief Enterprise Data Officer at S&P Global, shares how he manages one of the world's largest financial data estates while driving business outcomes across public and private markets. He breaks down the four pillars of S&P Global's data strategy, the federated organizational model that connects data teams to business value, and why capturing ROI from AI requires deliberate workflow transformation.

How Wix's AI Agents Stay Ahead of the Rest | Life Is But A Stream

Real-time data and AI are converging—and companies that have already solved the data pipeline problem are pulling ahead fast. Wix processes over 40 billion interactions every day across hundreds of millions of websites, and the architecture behind that scale didn't happen by accident. It was built, lane by lane, around the principle that your upstream data must be at least as fast as your fastest use case.

How to Use Snowflake Semantic Views in ThoughtSpot

Learn how to go from Snowflake Semantic View to a fully functional ThoughtSpot Liveboard in under five minutes. Our Senior Director of Product Management, Antonio Scaramuzzino, shows the powerful native integration between Snowflake Semantic Views and ThoughtSpot’s Spotter Semantics. You’ll learn how to: + Skip the manual mapping. Use the Semantic Views you’ve created in Snowflake directly in ThoughtSpot.

Monitoring, Audit Trails, and Compliance with ClearML

The previous posts in this series built the security model layer by layer: identity, configuration governance, service account automation, compute policies, and production model serving. This final post covers what holds all of it together: the monitoring and audit layer that records every action, every API call, and every resource event and makes the full picture visible to the people responsible for it. It accompanies our Enterprise AI Infrastructure Security YouTube series.

Omni-channel AI: The next frontier for Data and Analytics

What marketing mastered years ago, product teams are only now beginning to understand. For decades, marketing has operated on a simple but powerful principle: don't make your customers come to you, go to them. Meet them on the channels they already use, speak in the language they already speak, and show up where they already spend their time. The result was omni-channel marketing, a discipline that transformed how brands engage with the world.

Introducing Kafka Skills for AI Engineering Agents

If you've written a line of code in the last 18 months, you already know this. Tools like Claude, Codex, Bob, Kiro and Cursor have made agentic software engineering the default. Most developers today are writing prompts as much as they are writing code. That shift changes what ‘developer experience’ means. Clean UIs, useful tools and good docs are still the foundation but the focus has shifted to ensuring a coding agent actually knows what it is doing, in the hands of a developer.

Lenses MCP Server with OAuth 2.1

You can now drive Lenses from Cursor, VS Code, IBM Bob or Claude Code without running any extra piece of infrastructure locally. Lenses MCP offers secure tools across topics, schemas, Kafka Connect, SQL processors, consumer groups, datasets and pod logs: everything an engineer would normally click through in the Lenses UI, now reachable from any MCP-compatible client over HTTP.

Why Your AI Strategy is Breaking: The Power of AI Anywhere with Cloudera

Hey, did you know AI can’t be confined to just one environment? AI is moving faster than ever, but it cannot be confined to a single environment. From the public cloud to on-prem data centers and out to the edge, AI is everywhere. However, when these environments remain siloed, your data strategy breaks—leading to inconsistent governance and scaling roadblocks. In this video, discover the vision of AI Anywhere. To unlock real business value, AI must operate exactly where your data lives, maintaining the same level of control, trust, and security across every platform.