DataHub is introducing a new context intelligence layer that mines years of SQL query logs to help AI agents stop ...

As AI becomes the public face of business, organizations must validate performance, security, and cost efficiency at scale.

Open source BI adoption in 2026 is driven less by cost savings and more by the need for data ownership, deployment control, and the flexibility to integrate AI workflows without vendor dependency.

Writing code that interacts with LLM services requires bridging two different worlds. Use these tips and techniques to bind the AI model to the logic of your app.

The IT teams getting the most out of AI agents right now are the ones who did the unglamorous work of mapping their processes ...

AI agent exploited Salesforce sites; 263 objects, 55 Apex methods exposed at one portal, leading to PII and file leaks.

Aventus shows how hands-on engineering leadership can accelerate fintech delivery while strengthening technical resilience.

AI systems inherit decades-old security flaws many organizations still fail to address consistently.

The report also highlights the rise of ‘Agents for Every Workflow’, where multiple agents collaborate to run end-to-end processes – from onboarding to procurement to financial reconciliation. These ...

As workflows evolve into collaborations between humans and AI agents, traditional user experiences based on forms, dashboards ...

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AI agents can’t just guess what your data means; they need an "ontology" to act as a shared rulebook so they don't make confident, expensive mistakes.