Databricks launches Unity AI Gateway, a centralized governance platform giving organizations real-time control over AI costs, compliance, and access across agents, models, and tools without vendor lock-in.
Databricks secures $1 billion funding at over $100 billion valuation as AI agents now create 80% of databases compared to just 30% a year ago, with the company reaching $4 billion in annual recurring revenue.
Scale AI's former CTO Arun Murthy unveils Isotopes AI with $20 million seed funding, debuting AI agent Aidnn that solves data access challenges for business managers by gathering information from diverse sources to provide answers and draft complex planning documents.
A new GenAI Assessment Framework maps AI solutions across capability modes and customization approaches, helping enterprises identify the right AI approach and avoid common failure modes.
Synthetic data generated by AI models are revolutionizing privacy preservation, enabling cost savings and faster AI development while requiring rigorous evaluation to maintain performance.
Scientists unveil Datavzrd, an open-source tool transforming complex data tables into interactive HTML visualizations, making massive datasets accessible across fields without coding, enabling intuitive multi-table exploration and flexible data presentation.
Claude Code's AI coding assistant is monitored using OpenTelemetry and SigNoz, capturing key metrics like token usage, costs, request patterns, and performance, visualized in dashboards, providing insights into adoption, productivity gains, and system reliability.
New research reveals only 9% of companies possess the proper data infrastructure needed for AI integration, despite a widespread corporate rush to deploy AI agents across business operations.
AI database startup Pinecone, founded in Israel, weighs potential sale as tech giants like Oracle, IBM, MongoDB and Snowflake emerge as suitors amid fierce competition, further intensified by losing prominent customer Notion.
Cloud services and AI tools like ChatGPT are fueling demand for versatile data generalists over narrowly specialized roles, as startups seek professionals who can handle end-to-end data pipelines from a single platform.