Cloud Computing

Ryan welcomes Thibault Sottiaux, OpenAI’s engineering lead on Codex, to discuss how the Codex team dogfoods Codex to build Codex, what distinguishes an agentic coding tool from a chat-based code assistant, and why they’re focusing on a safe and secure agentic SDLC rather than just code generation.

API and network traffic get all the press, but some folks are still trying to build a better upload scanner.

Ryan is joined by Philippe Saade, the AI project lead at Wikimedia Deutschland, to dive into the Wikidata Embedding Project and how their team vectorized 30 million of Wikidata’s 119 million entries for semantic search.

Bringing data into BigQuery centralizes your information, but the real challenge is making that data accessible. Often, technical barriers separate the people with questions — from execs to analysts — from the answers they need. With the Conversational Analytics API, powered by Gemini, you no longer need intricate systems to get insights. The API is

In the world of generative AI and Retrieval-Augmented Generation (RAG), embeddings are the “secret sauce” that allow machines and AI agents to understand the semantic meaning of data. As BigQuery extends its autonomous data-to-AI platform, embeddings unblock valuable multimodal use cases. However, for many data engineers, managing embeddings is a headache. Traditionally, users have to

In our conversations with business and policy leaders across Europe, we have listened closely to their concerns about sovereignty and European competitiveness. It is clear that they often find themselves caught in a paradox that Europe must choose between autonomy and growth. At Google Cloud, we believe that this is a false choice, and a