If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...

As AI is embedded inside systems, teams must design APIs with governance, observability and scalability in mind.

Aaron Erickson at QCon AI NYC 2025 emphasized treating agentic AI as an engineering challenge, focusing on reliability ...

The future of the field isn't less engineering but better engineering, where people focus on design, integrity and impact ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

These trends reflect profound shifts in how consumers behave, how platforms operate, and how marketers integrate strategy and ...

Innovation fails when every pilot starts from scratch; the chassis approach shows how to move fast with vendors while keeping ...

The company’s platform, Starling AIX, aims to structure organizational knowledge so that large language models can work with ...

New Gallup data show which US jobs are using AI the most, revealing a growing divide between knowledge workers, frontline ...

A new study reveals which professions are most concerned about AI’s impact on jobs — and why anxiety is rising across several ...

A monitor node validates state proofs and anchors snapshots on chain, which provides auditability for attribution and ...