Systems | Development | Analytics | API | Testing

New regulations have changed the stakes. With NIS2, DORA, and GDPR, senior leaders are now personally accountable for how data is accessed, analysed, and shared. Yet in many organizations, critical insight still flows through spreadsheets, slide decks, and manual exports - outside governed systems and beyond auditability. Once data leaves controlled platforms, visibility and accountability disappear.

In this video we walk through setting up and testing an identity provider (Azure Entra ID) with ClearML Enterprise, enabling group synchronization to automate user onboarding, and then using platform access rules to secure the resources available to your teams and agents. What we cover: This is Part 2 of our series on enterprise AI infrastructure security.

Most data teams spend 80% of their time prepping data instead of driving strategy. In the agentic era, that's not just slow—it's a blocker. In this session, Anjali Kumari demonstrates how to go from raw, siloed data to trusted insights in under 10 minutes. This segment shows you how to empower your team with AI-ready data without the pipeline sprawl or surprise cloud bills. In this video, you’ll see a live walkthrough of how to.

Tax is strategy, risk, technology, and real business impact all rolled into one. Our video series brings together practitioners sharing what’s actually working right now. From transfer pricing pressure and global regulatory shifts to AI, ERP realities, and elevating tax’s voice in business decisions, these conversations focus on practical insight you can actually use. Real perspectives. Straightforward conversations. No fluff.

Cloudera CEO Charles Sansbury kicks off Evolve 25 New York by defining the "Era of Convergence" and the rise of Private AI. Discover how Cloudera is managing over 25 exabytes of data to help global leaders move from horizontal AI use cases to business-unit centric ROI. Charles details the strategic acquisitions of Octopai and Taikun, explaining how they bridge the gap between "Command & Control" and "Cloud Convenience." Learn how to operationalize high-fidelity data to drive "Everywhere AI" across hybrid environments without compromising security.

In this video, we show you how to connect Databox to Make using the Model Context Protocol (MCP). Learn how to give your automated workflows and AI tools direct access to your live business metrics, empowering you to easily fetch context, analyze data, and build data-driven automations faster than ever. Links & Resources: About this series: This video is part of our "Chat with Your Data" series, where we explore the Databox MCP.