Discover the top 12 tools in 2026, from Cursor to Copilot, to speed up daily dev workflows and build apps faster!

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 ...

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 ...

As Large Language Models (LLMs) grow in complexity and scale, tracking their performance, experiments, and deployments becomes increasingly challenging. This is where MLflow comes in – providing a ...

Enable an MLOps pipeline by promoting MLflow objects (runs, experiments or registered models) from one MLflow tracking server (Datbricks workspace) to another. Copy a the best run (model) from the ...

Machine learning (ML) has become an integral part of data science, and the tools used for ML tasks are critical to the success of projects. From notebooks that allow for interactive coding and ...