AI agents fail at data and code tasks not because they can't write SQL, but because they lack semantic context — the meaning of the data itself.

Building apps is something for young programmers, right?”“It’s impossible for someone like me without IT expertise...”If that ...

Tableau Prep is two tools sharing one name. Prep Builder is where you clean and shape data into flows, on the desktop or on ...

The first generation of enterprise analytics copilots made a compelling promise: ask a business question in plain language ...

Recently, I have been looking into the Data Scientist Certification.At first, I thought, 'Since it is a certification for ...

AI agents that run code can leak secrets, install malware, and wipe your repo. Learn the 5 hidden security risks and how to ...

Anthropic launched a public beta of Claude for Google Workspace on October 6, bringing a Claude sidebar to Google Docs, ...

Crypto job postings hit 1,241 in September 2026 as applications fell 27%. Here's why most openings want senior hires, and ...

A developer reports that GPT-6 Astra finished every quest in World of Warcraft's orc starting area in 40 minutes with zero ...

Argo-Bench found the top AI model fully solved just 34.8% of enterprise data tasks, exposing gaps in AI agent reliability and ...

Developer Lukas Vogel has released SQLDoom, a port of the classic game Doom that runs almost entirely on SQL queries within the CedarDB ...

Discover how Harness Engineering could reshape the Modern Data Stack by giving AI agents the context, validation, and execution needed for production.