Key Takeaways -   To understand data science, one needs a lot of technical expertise along with business understanding. Generative AI, MLOps, and clou ...

Maximize development velocity and eliminate operations toil with this indie-favorite serverless, event-driven, no-ops stack.

Gwen Shapira shares how teams are scaling AI features using PostgreSQL for mission-critical apps. She explains how to ...

It's an absolute beast with over 700 fixes and active zero-days landing right as major SQL and SharePoint versions hit end of ...

An analysis of more than 2,000 job postings reveals what U.S. companies screen for when they build engineering teams in ...

Agent observability, aka AgentOps, has emerged as a vital ecosystem of tools for keeping an eye on what AI agents and LLMs ...

Founded in 1977, Oracle is now a $404 billion (by market cap) tech behemoth employing around 140,000 people. See why I rate ...

Across 101 enterprises, the infrastructure that feeds AI agents their business context is being built faster than it can be ...

Industrial AI may be all the rage, but it’s useless-to-dangerous without standardized, relevant data to work from. And yet, ...

Mackenzie McAllister, a 22-year-old computer science grad, said she used AI as a crutch during school. Now she's considering ...

Gen AI cost optimization strategies that cut token usage by up to 90% through semantic caching, model distillation, and smart ...