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

Embedding pipelines are fundamentally a data engineering problem, not an entirely new AI discipline. It’s still ETL (Extract, ...

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

The announcements add built-in durability for Amazon ElastiCache for Valkey and a new bring-your-own-media option for Amazon ...

AI Impact looks at how AI search is reshaping discovery, why IT services feels squeezed and what better context means for ...

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.

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

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

ServiceNow (NOW) remains a BUY as AI adoption accelerates, driving both revenue growth and profitability beyond seat-based ...

Actian’s Ole Olesen-Bagneux explains why AI agents need metadata, lineage, context, and governance before enterprises can ...

Durable workflow engine Obelisk argues a SQLite file plus Litestream backup can replace Amazon SQS and RabbitMQ for AI agent workflows and tenant-isolated pipelines. The open-source, pre-release ...