The world of data is undergoing a seismic shift. From increasing scale & concurrency, to increasing technical complexity, increasing compliance scrutiny, and all this in the face of supporting the data-ravenous AI revolution.

So how do you deliver the right data to the right place at the right time whilst still maintaining control & accountability in increasingly regulated environments?

In this session, we’ll explore how the Starburst data platform delivers faster time to insights whilst breaking down data silos, serving data to & tightly integrating with GenAI & Agents at velocity, and achieving all this within the tight constraints of a well-governed architecture that meets regulatory compliance demands.

Enterprises are eager to realise the promise of AI—from insights to decisions to automation. The business is ready to innovate, but fragmented data, rigid AI governance, and the cost and complexity of AI innovation just create frustration. 

This session explores a bold idea: the business—not IT—will lead AI innovation. Success depends on enabling teams to ideate freely, experiment rapidly, and unlock new value at market pace. We’ll discuss how a modern data product strategy empowers business teams with access, trust, and agility—so they can test ideas quickly and scale what works.

You’ll learn why experimentation is the new strategic advantage—and how to turn business curiosity into competitive impact.

Enterprises are eager to realise the promise of AI—from insights to decisions to automation. The business is ready to innovate, but fragmented data, rigid AI governance, and the cost and complexity of AI innovation just create frustration. 

This session explores a bold idea: the business—not IT—will lead AI innovation. Success depends on enabling teams to ideate freely, experiment rapidly, and unlock new value at market pace. We’ll discuss how a modern data product strategy empowers business teams with access, trust, and agility—so they can test ideas quickly and scale what works.

You’ll learn why experimentation is the new strategic advantage—and how to turn business curiosity into competitive impact.

AI innovation shouldn’t be gated by pipeline delays or data migrations. This session shows how federated data products deliver instant, trusted access—fueling chatbots, agents, and multi-agent workflows that solve real business problems.

We’ll walk through examples of a semantic layer built with data products that power both BI and AI. You’ll see how data products ensure more accurate AI results, simplify governance, and support experimentation with any LLM or agent framework.

Real-world use cases will include:

* A 1-day chatbot business project for answering questions with governed data

* An autonomous agent driving decisions from live sources

* A multi-agent workflow delivering dynamic, real-time insights

Leave with a practical blueprint to accelerate AI—no warehouse rewrites, no delays, just results.

Plongez au cœur du connecteur Trino pour Apache Iceberg ! Au-delà des bases, nous vous invitons à découvrir les dernières nouveautés et les fonctionnalités les plus avancées. À travers des démonstrations en direct, nous explorerons des sujets clés : La gestion des branches et des tags liés aux instantanés (snapshots). Les options de maintenance pour vos tables Iceberg. Le support étendu des métastores (catalogues). Ce talk est l'occasion de maîtriser des aspects souvent méconnus pour optimiser vos tables Iceberg avec Trino.

Zoom détaillé sur les projets Apache Iceberg et Trino avec Julien Thiaw-Kine et Victor Coustenoble. Tour d'horizon, les acteurs, les promesses et pourquoi la combinaison Iceberg et Trino a du sens. La séparation du compute et du storage avec Iceberg change la façon dont on pense les architectures data. L'approche multi-engine permet de traiter tout type de workload en utilisant le moteur adéquat. Cas d'usage et retour d'expérience de l'utilisation de Iceberg & Trino chez OVHcloud.

Tired of the endless cycle of data platform migrations? Discover a nuanced approach that prioritizes vendor independence and future-proofs your data initiatives. Learn how seemingly well-justified migrations, driven by platform limitations and promises of the 'next big thing', often fail to deliver lasting value. We'll present strategies to minimize vendor lock-in, ensuring your data analytics strategy remains adaptable and sustainable. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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