New integration enables engineers to solve complex fluid dynamics problems 10-20x faster, transforming simulation into a scalable source of synthetic data for Engineering AI and Digital Twins.

Data Product Agent Mesh makes the promise of Data Mesh practical by solving its operational complexity through intelligent ...

At QCon London 2026, Yinka Omole, Lead Software Engineer at Personio, presented a session exploring a recurring dilemma engineers face, whether to spend time mastering the newest technologies and ...

MATLAB courses explain programming, simulations, and data analysis used in engineering and research work.Online platforms and ...

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 ...

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 ...

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 ...

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 ...

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 ...

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.

“We have 600 petabytes of data across Intel,” said Aziz Safa, corporate VP & GM Intel Foundry Automation at the recent PDF Solutions Users Conference. “The challenge is to be able to run algorithms on ...

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 ...