Snowflake's Matt Nunn explains why effective AI starts with effective data preparation, from ingestion and transformation through semantic context, storage, enrichment and secure consumption.

A range of AI trust, guardrail, and red-teaming platforms is emerging to help control and secure the LLMs and agents deployed across your enterprise. Here’s an overview of the most promising tools ...

With customers asking increasingly complex questions of AI agents, Databricks is launching a model aimed at improving the accuracy of data retrieval systems.

The biggest tech industry mergers and acquisitions in 2026 (so far) include the completion of Google’s $32 billion ...

Thanks for joining us for day 2 of the Citi Global TMT Conference here. Today, my name is YC Wong. I'm part of the software analyst team at Citi. We are excited to have Teradata CEO, Steve McMillan.

A complete, step-by-step guide to connect a Snowflake-managed MCP server to a Microsoft Copilot Studio agent, with per-user security through Microsoft Entra OAuth. Note: Microsoft Copilot Studio (used ...

Deep learning has progressed quickly, from mathematical concepts in the mid-20th century to edge-based small language models, specialised enterprise SQL engines and autonomous agent networks Experts ...

Vercel chief of software Andrew Qu spent a year building an internal data-science agent. The story of that agent — how a hand-crafted, ...

Original interviews and reporting by Let’s Data Science. Read our exclusive conversations with the people building AI, newest ...