George Lawton

The industry is increasingly talking up context engineering as the next right step to narrow LLMs' focus and get better results. But context has many facets, depending on the workflow. Two interesting ones are meaning and action.

The power demands to feed thirsty AI data centers will soon double and triple in the U.S. Learn the energy options that could one day rival natural gas.

How a harness approach shapes Headless 360 for business users.

Summary: IBM has connected two modular cryogenic cells and cooled them as a single environment, the first step toward building quantum computers the way data centers build racks. IBM's Jerry Chow and Oliver Dial unpack the implications for future fault-tolerant and scalable quantum systems.

SHI’s Shane Cronin, Head of FinOps & ITAM Services, who has been unpacking the financial implications of complex technology decisions for decades, explores challenges and lessons for emerging AI procurement and cost controls. The new open source Tokenomics Foundation might help.

Velocity Chairman Kent Savage unpacks how growing uncertainties in the hidden substrata of AI data centers is driving re-shoring efforts.

Agentic AI exposes gaps in decentralized data estates, prompting enterprises to strengthen shared governance without recentralizing ownership.

It's easier to build analytics models, dashboards and different data views interactively thanks to foundation models, AI agents and conversational interfaces.

Voice of the customer tools help provide a complete view of the customer experience by collecting feedback across multiple channels.

Salesforce’s Agentic Work Units initiative is a new way of measuring the metrics around agentic adoption. Is it going to catch on? Here’s my opinion.