AI Briefing#data-infrastructure
The latest AI and developer news about #data-infrastructure, with the original source and a short summary.
The latest AI and developer news about #data-infrastructure, with the original source and a short summary.
Gnomon is an open-source PostgreSQL extension that provides branch, diff, and merge capabilities for database data, allowing AI agents to safely modify production data with full auditability and undo functionality.
The pre-release project provides a unified TimeF format and API to standardize the discovery, building, and loading of time-series datasets for AI models.
MUSINSA used its campaign meta-engine to automatically optimize over half of the hundreds of millions of messages sent monthly.
Data-scraping bots are crashing academic library sites, prompting Anthropic, OpenAI, Google, and Microsoft to support a voluntary robots.txt opt-out standard.
The Apache 2.0 licensed tool generates ontologies from enterprise metadata to provide trusted context for AI agents via MCP, CLI, and API interfaces.
Resolved server replacement and memory leak issues at the tenant level alongside Apache Spark Operator.
Daangn's Data Value Team introduces an in-house experiment platform that supports everything from A/B test design to analysis.
This introduces MATCH, the decision-making engine Musinsa built to go beyond simply accumulating data and drive actual business outcomes.
Toss Securities shares the technical challenges and solutions for operating Spark Connect as a stable service in a Kubernetes environment.
To build a successful data agent, rich metadata and a semantic layer are essential, going beyond simple file access.
Improving the performance of biology agents requires redesigning human-centric data infrastructure to be agent-friendly.
Pinterest introduced a 'One Definition, Many Runtimes' approach to improve the cost efficiency and consistency of its user sequence data platform.
A cross-verified price feed for AI agents and MCP clients has been released.
Jay Kreps, co-founder and CEO of Confluent, has joined Anthropic's board as a member.
To overcome the limitations of manual analysis, Banksalad built an automated experiment analysis pipeline V2, improving data reliability and decision-making speed.