Google’s ATLAS study reveals how languages help each other in AI training, offering scaling laws and pairing insights for better multilingual models.

The additions let data teams ask progressive, context‑aware questions in natural language while enabling developers to deploy governed analytics agents across applications via unified API endpoints.

Maybe your wishes will come true? AI Ultra subscribers will be able to create and explore interactive AI-generated worlds.

Teradata (NYSE: TDC) today announced the availability of its foundational enterprise-grade Data Analyst AI agent on Google Cloud Marketplace, enabling organizations to integrate advanced analytics and ...

Cuts out the Azure middleman with multi-year deal for 'tighter alignment' Snowflake plans to spend as much as $200 million ...

What's Up Docker shows which Docker containers need updates, tracks versions, and lets you manage them safely through a ...

In 2026, artificial intelligence skills sit on the short list for promotions in analytics, product, and operations. Teams want people who can frame the right problem, choose workable models, and ...

Hands-on learning is praised as the best way to understand AI internals. The conversation aims to be technical without ...

Google Cloudは、同社の大規模データベースであるBigQueryの新機能として、自然言語を使ってデータを分析できる会話型分析機能（Conversational Analytics）のプレビュー公開を発表しました。

グーグル親会社のアルファベットが市場予想を上回る第4四半期（10〜12月）決算を発表。2026年の設備投資を倍増させる計画も併せて明らかにしました。最新モデル「Gemini ...

Systems Development Engineer Ravi Kiran Reddy Bommareddy eliminated vendor dependencies and manual bottlenecks across Amazon's fulfillment network, proving scal ...

グーグルの社内文書から、同社を「AI駆動型の職場」に変える「プロジェクト・イート（EAT）」と呼ばれる取り組みが進められていることが分かりました。従業員が常に最先端のAIツールを駆使して業務を遂行する職場環境の実現を目指し、インフラ部署の主導でプロジ ...