Cloud-native data analytics startup Sigma Computing Inc. has closed on an $80 million Series E funding round that doubles its ...

Stainless, a New York-based startup, founded in 2022, rose to prominence in the emerging AI industry for automating the ...

The San Francisco analytics company hit $200 million ARR in April, doubling year over year. Sigma Agents, its no-code AI product, became the fastest-adopted feature in the company's history.

In 2026, Azure Machine Learning has evolved from a sandbox for data scientists into a robust platform for operational forecasting, yet many teams still struggle to see what happens after deployment.

The Google ADK is a capable and mostly complete framework for developing agents, with support for multiple agent types, multi-agent architectures, and multiple programming languages. The Google Agent ...

Nvidia has a structured data enablement strategy. Nvidia provides libaries, software and hardware to index and search data faster. The Indexing and retrievals are way faster 10-40X faster in most ...

Managing a modern enterprise data landscape in 2026 is a lot like running a high-speed, global railway network. You have massive freight trains of legacy data leaving on-premise servers in Mumbai, ...

Building a RAG system can be challenging. In addition to deployment and infrastructure challenges (eg, scaling up your vector db), there are many tradeoffs and decisions to make for each component of ...

The Databricks SQL Connector for Python allows you to develop Python applications that connect to Databricks clusters and SQL warehouses. It is a Thrift-based client with no dependencies on ODBC or ...

New Agent Bricks features — Agent-as-a-Judge, Tunable Judges, and Judge Builder — are designed to help enterprises fine-tune agent performance and align AI behavior with business-specific standards.

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...