Systems | Development | Analytics | API | Testing

Most AI failures aren’t model problems. They’re data pipeline problems. Disconnected systems. Inconsistent preparation. No governance at query time. This short animation walks through the 5 Pillars of AI-Ready Data and shows how data needs to move through a structured pipeline before it can power reliable AI. 5 Pillars of AI-Ready Data Access → Prep → Context → Governance → Monitoring Five stages. One connected flow.

Is your AI agent one misconfigured server away from a production data leak? In this deep dive, Jeremy from Lenses explores the critical security architecture of the Model Context Protocol (MCP) and how it’s evolving to protect the future of Agentic Engineering.

Discover the powerful new IDE-like Studio in Lenses 6.2. Learn how to manage your Kafka clusters, discover topics across multiple environments, and perform side-by-side comparisons of dev and staging data. We also dive into the new ways to interact with streaming data, including the CLI, VS Code plugin, and the new MCP server for AI agents and chatbots. Whether you're a developer troubleshooting schema mismatches or a data engineer managing complex Kafka estates, the new Lenses Studio provides the tools you need to stay in context and work efficiently.

DORA's most surprising requirement may be that financial services organizations are responsible for the security and resilience of every third-party vendor and open source dependency in their stack. If a library you depend on fails, that risk is yours to own. Learn more about DORA compliance and how to stay compliant in this clip from the OpenLogic webinar, "Navigating EU Compliance: Open Source Strategies for Digital Sovereignty and Resilience," which aired in February 2026.

Get information about the practical compliance requirements of the EU AI Act, the first AI regulatory framework with real enforcement teeth. In this clip from OpenLogic's webinar "Navigating EU Compliance: Open Source Strategies for Digital Sovereignty and Resilience", Perforce CISO Aaron Kiemele walks through classifying AI systems by risk level, establishing human oversight and audit trails, and documenting training data provenance — while noting that these steps are straightforward but frequently overlooked by organizations.

Find out the key differences between GDPR (focused on data privacy) and the EU Data Act (focused on data ownership and portability). In this clip from the OpenLogic webinar, "Navigating EU Compliance: Open Source Strategies for Digital Sovereignty and Resilience", Perforce CISO Aaron Kiemele explains that contract clauses locking data into proprietary silos are now hard to enforce, and businesses must have credible, tested plans to exit a software platform if data policy or residency requirements shift.

Where agentic AI meets your analytics stack to drive action at scale. The shift is here. As the industry moves from Generative AI (Chat) to Agentic AI (Action), the pressure is on for developers and data practitioners to design intelligent apps that don't just talk: they perform. The real challenge? Bridging the gap between sophisticated developer tooling and your enterprise analytics stack. That’s exactly what this session solves.

You have the data. You just can't get to the answer. That changes now. Databox is an AI-powered analytics platform built to give teams clear, trusted answers, fast. No waiting. No spreadsheet tabs. No "I'll loop in Mark.".