A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in ...

Data Access Shouldnʼt Require a Translator In most enterprises, data access still feels like a locked room with SQL as the ...

By being deliberate, leaders can avoid overhyping AI and instead position it as a specialist tool that complements existing ...

Shanghai AI Lab researchers find that giving AI richer context—called “context engineering”—can make models smarter without retraining.

AI in software engineering— a loose, vibes-based approach has given way to a systematic approach to managing how AI systems ...

Researchers from the Hong Kong University of Science and Technology (HKUST) and Tongji University have developed FerroAI, a ...

A non-invasive imaging technique can translate scenes in your head into sentences. It could help to reveal how the brain ...

DiffusionData, a provider of a secure, real-time data server, is introducing an open source implementation of the Model Context Protocol (MCP) that lets AI assistants interact with Diffusion in ...

Once the data is collected, Celonis enriches it with business context to create a digital twin of an enterprise’s business ...

AI and object-centric process mining are transforming business operations with data-driven insights, reliability and ...

A brief on how to ensure agentic AI systems remain understandable, accountable, and aligned with the people they serve.

Confluent is positioning itself as the "context layer for enterprise AI" with new capabilities that aim to solve the problem ...