Behind every AI prompt lies a vast network of data centres guzzling growing amounts of electricity and water, raising questions about energy security, local resources and the sustainability of rapid ...

Databricks, Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Fabric – to see how they address rapidly evolving ...

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.

We all have to harness it, but we have to be very careful about it. Everyone feels the pressure to implement AI to make things less expensive for the client or customer.

Tiiny AI has introduced what it calls the world’s smallest personal AI supercomputer, a pocket-sized device that runs large language models with up to 120 billion parameters entirely offline. Verified ...

Microsoft's Phi-4-reasoning-vision-15B uses careful data curation and selective reasoning to compete with models trained on ...

AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...

The evolution of data architecture is accelerating. In 2025, 85% of DBTA subscribers reported plans to modernize their data platforms-driven largely by the explosive rise of GenAI and large language ...

On Oct. 15, 2024, Dominion Energy Virginia filed its 2024 Integrated Resource Plan, a comprehensive, long-term regional plan to meet growing power demand, much of it driven by data centers, according ...

Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes ...

Nvidia leads in AI chip revenue, making $194 billion in 2026, dominating 86% of the market. The hyperscalers are collectively planning close to $600 billion in 2026 capital expenditure. Broadcom’s ...