Making AI work at scale requires coordination across systems, data flows, and controls, along with clear accountability for how decisions are made and acted upon Imagine inheriting responsibility for ...

IBM stock has tumbled 20.6% in three months after Anthropic's Claude Code threatened its legacy COBOL moat - can hybrid cloud and watsonx offset the risk?

AI coding tools have enabled a flood of bad code that threatens to overwhelm many projects. Building new features is easier ...

Devops teams are partnering with AI copilots and agents to manage multicloud complexity. Here are seven ways genAI can improve multicloud adoption, governance, observability, and more.

Dyad AI from JuliaHub is bringing an AI-for-Science environment to product development. Users can model and interrogate ...

How are AI Agents transforming DeFi? From autonomous risk management to liquidity optimization and smart contract security, ...

Phil Bernstein and Vincent Guerrero present four areas where AI will develop fast in the architectural profession in 2026, ...

As AI tools introduce unilateral decision-making in the construction industry, the standards for adoption increase.

AI-powered procurement software is helping teams automate repetitive tasks, improve spend visibility, and reduce costs.

Don't attempt holistic conversion. Module-by-module migration with clear quality gates prevents the catastrophic failure modes that plagued earlier AI conversion attempts.

AI agents now provision infrastructure and approve actions, but many inherit over-scoped privileges without proper governance ...

Spec-Driven Development sets written specs before AI coding; a 4-step flow links requirements, design docs, tests, and QA.