Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

Water risk is becoming a growing operational challenge for industries ranging from mining and agriculture to energy and infrastructure – with consequences that extend far beyond company operations.

Databricks Inc. today introduced Genie Code, an artificial intelligence agent designed to automate complex data engineering and analytics tasks. The move extends the rapid evolution of agents from ...

Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...

As AI adoption accelerates, enterprises are rethinking fragmented data architectures in favor of unified intelligence operating models.

It’s tempting to think of AI as a new frontier requiring new rules. But in many ways, the principles of data readiness remain unchanged. Clean, well-structured, and well-documented data has always ...

It's ironic that the one thing that might be able to help manage the massive need for electrical design created by $1 trillion in data center investment to power artificial intelligence is ...

Genie Code turns data engineering, data science and analytics ideas into autonomous production systemsSAN FRANCISCO, March 11, 2026 /PRNewswire/ -- Databricks, the Data and AI company, today ...

Exner said the discipline emerging to solve that challenge is context engineering,: the process of delivering relevant ...

The computing community has largely treated AI hallucinations as a model problem. The default path to reliability has been model improvement: better training data, larger context windows, retrieval ...

How a new startup plans to power satellites with lasers. A new class of ultrafast AI chips also uses lasers. And startup Axiomatic AI is building better AI models for science and engineering.

OpenAI’s internal AI data agent searches 600 petabytes across 70,000 datasets, saving hours per query and offering a blueprint for enterprise AI agents.