Accelerate GenAI apps with Fivetran Google Cloud BQ and Vertex AI
Fivetran and Google Cloud synergize incredibly well, bringing generative AI to your fingertips.
// Company Updates
All companiesFrom the Industry Leaders
The 2026 Agent Confidence Index: Where 300 builders see real momentum
At Microsoft, building trustworthy AI agents is as critical as building powerful ones. New research from the 2026 Agent Confidence Index shows where teams trust agents today—and why human judgment...
Accelerate modern Linux workloads with Azure Files
Azure Files combines familiar file access with built-in performance, data protection, security, and Azure service integration. The post Accelerate modern Linux workloads with Azure Files appeared...
Open Models, Closed Environments: Palantir Brings Secure AI to US Agencies With NVIDIA Nemotron
Showcasing the importance of open source innovation in American AI, Palantir’s new intelligent engine — introduced today — uses NVIDIA Nemotron open models to serve the needs of U.S. government...
How Unity Catalog Enforces Fine-Grained Policies on Starburst Queries
A couple of weeks ago at the Databricks Data + AI Summit, I gave a …
Mapping Europe’s AI Workforce Opportunity
A new OpenAI report maps how AI could reshape jobs across the EU, highlighting which occupations may face automation, growth, or workflow changes.
Faster Gemma 4 on MLX with multi-token prediction
Gemma 4 is now significantly faster in Ollama 0.31 on Apple Silicon via multi-token prediction (MTP), powered by MLX. Performance is now up to 90% faster when used with coding agents, as measured...
What if a full data platform was one prompt away?
We launched Flights, an AI-native Python runtime in MotherDuck. Here's how I built a full end-to-end data pipeline (two scheduled Flights and a Dive dashboard) from a single prompt, using an AI...
Updated metrics pricing for Elastic Observability: Best-in-class metrics — now cheaper, too!
On Elastic Observability Serverless, metrics data stored in TSDS index mode is now priced at 25% of the standard Observability per-GB rate for both ingest and retention.
Your AI isn’t underperforming. Your data foundation is.
New research shows Australian businesses are blowing AI budgets on tokenmaxxing instead of fixing their underlying data foundations. Discover why data quality, not the model, determines your true AI...
Agents hate friction: early thoughts on building for agents
We've had decades to learn what it means to design software and hardware for humans. How do we build experiences where the primary user may now be an LLM?
Micro-Agent: Beat Frontier Models with Collaboration inside Model API
How vLLM Semantic Router turns vllm-sr/auto into a bounded micro-agent runtime for Confidence, Ratings, ReMoM, Fusion, Workflows, and benchmark-shaped collaboration.
Benchmarks and Obscurantism: A “red” line that should not be crossed
Benchmarks only matter when they can be inspected, challenged, and reproduced. Here’s what we found when we tested Databricks’ ClickHouse claim.
HP Inc. launches Frontier strategic partnership with OpenAI
HP Inc. scales its OpenAI Frontier partnership to deploy AI across customer experiences, software development, and enterprise operations.
Build your own RAG-based GenAI application in 30 minutes | Blog | Fivetran
Learn to build a GenAI app with Fivetran, Snowflake, Cortex, Arctic and Streamlit in our hands-on lab at Snowflake Data Cloud Summit 2024.
How Databricks is turning video into searchable, actionable intelligence
A utility company deploys drones to inspect hundreds of miles of power lines. A police...
A Decision Framework for ETL Migration to Databricks
Your team has hundreds of stored procedures, a couple of schedulers, permissions...
How the English Office for Students leverages Databricks to enhance higher education standards and drive better student outcomes
8 hours → minutes | Processing time for a 300-million-record data job after moving...
Anthropic Economic Index report: Cadences
In our latest Economic Index report, we sample hourly for the first time to ask: When do people come to Claude? What do they produce with it? And how do they perceive AI's impact on their work?