Keynote: Building Intelligent Systems on Real-time Data

Confluent CEO Jay Kreps takes the stage alongside industry leaders at data streaming’s biggest event. Together, they’ll show why free-flowing, real-time data has become the key to unleashing the full potential of intelligent systems across every business. From live demos to real-world use cases to industry-changing product announcements, this year’s keynote is essential viewing for anyone looking to maximize the potential of their AI. Which is pretty much everyone. Don’t miss it.

ClearML Joins the Dell AI Ecosystem Program and Launches AI Factory Blueprints, Making It Easier for Enterprises to Operationalize AI

ClearML is deepening its partnership with Dell Technologies by joining the Dell AI Ecosystem Program, announced at Dell Technologies World 2026. As part of this collaboration, ClearML is launching two pre-validated deployment blueprints — for Kubernetes and OpenShift — available in the Dell Automation Platform catalog, giving enterprises a fast path from bare metal to a full AI stack.

What "AI-Ready Data" Actually Means And How to Tell If Yours Is

You turned on an AI feature in your analytics tool. It surfaced an insight about your pipeline. You looked at it, paused, and closed the tab because you weren’t sure the number was right. AI-ready data would have made you forward it instead. It’s data that is clean, structured, and governed consistently enough that an AI model can reason about your metrics without a human translating or reconciling them first.

Designing Sovereignty in Real-Time Data Streaming

As regulatory frameworks such as the General Data Protection Regulation (GDPR), Digital Operational Resilience Act (DORA), and Network and Information Security Directive 2 (NIS2) converge with the US Clarifying Lawful Overseas Use of Data Act (CLOUD Act), contractual assurances are no longer a sufficient defense. For senior leadership, digital sovereignty has evolved from a compliance checkbox into a core architectural requirement.

InfiniteWatch + Confluent: Turning Customer Interaction Data into Real-Time Intelligence

Every customer interaction generates signals that matter—a failed checkout, repeated form errors, a frustrated support call, a confusing AI agent exchange, or an unresolved email thread. Individually, these are isolated events. Connected, they reveal customer intent, friction points, operational risk, and opportunities for action.

Lenses VS Code Plugin - multi-Kafka DevX & governance within the IDE

Engineering is in the middle of an almighty shift. Thanks to AI code-generation solutions, Engineers are being asked to take on a different and wider set of responsibilities in order to be more productive. It’s what’s increasingly being coined as Agentic Engineering - using AI agents to accelerate engineering & operations work while maintaining human oversight, quality and rigour.

What It Takes to Make Data Ready for AI Systems

“Garbage in, garbage out.” We are not the ones who said this, George Fuechsel did. But when we are talking about AI today, it is hard not to repeat it. We spend a lot of time discussing what AI can do, the outputs, the predictions, the impact it can create. Much less attention goes to what is actually going into these systems.

Think Big: Inside the Hakkoda/IBM Snowflake Partnership

Ryan Tucker, CRO & Co-Founder of Hakodaa (now an IBM company), shares how their True Blue Snowflake partnership since 2021 drives data transformation and AI value with vertical expertise. He highlights customer wins including Cortex AI-powered sentiment analysis for a UK wealth manager and Snowflake Intelligence for retail executive reporting, and discusses how the IBM acquisition amplifies their Snowflake-specialized DNA with global reach.