AI

See how credit unions, insurers, and pension funds use AI and cloud data platforms to grow, cut costs, and manage risk.

A practical guide to enterprise AI adoption, covering agents, automation, governance, data access, cost control, and long-term value.

See how insurers use AI and modern data platforms to grow the business, work more efficiently, and gain sharper risk insight.

See how pension funds use AI and modern data platforms to improve member outcomes, strengthen performance, and manage risk.

See how Canadian credit unions use AI and modern data platforms to strengthen member relationships, simplify operations, and reduce risk.

AI exposes data and process gaps. Look into why governance and AI platforms are becoming essential for enterprise adoption.

Learn how unified data, governed context, and agentic AI help enterprises accelerate decisions, deliver outcomes, and unlock business value.

Discover whether your semantic model can support trustworthy AI copilots and data agents. Review governance, metadata, metrics, and business context.

Most AI Copilot pilots on Power BI don't fail because of the AI. Learn the 3 areas that determine whether your Copilot works in production.

AI FOMO drives costly, low-impact projects. Learn how NLB Group built a scalable AI platform in 5 months — and why foundations matter more than quick wins.

Join Adastra & Proboston at Google Cloud Summit Prague, June 9. Catch our session on Generative AI in Creative Production at the Agentic AI Stage.

Learn why AI adoption stalls from fear, how partners accelerate Microsoft Fabric success, and why governance prevents shadow AI risks fast for enterprises!

He explains how leaders can navigate AI with unified data, a strong semantic layer, OneLake, and trusted partner ecosystems.

How Fabric unifies analytics, complements Databricks, and enables AI-powered self-service insights without IT delays.

One year on, SAP Databricks is now strategically critical, reshaping governance, architecture, and enterprise AI in 2026.