Community driven content discussing all aspects of software development from DevOps to design patterns. These DP-100 questions are focused on commonly misunderstood Azure Machine Learning concepts. If ...

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

The demand for data science talent continues to grow, but the skills employers value are changing rapidly. Building models alone is no longer enough. Modern data scientists are expected to work with ...

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

The Association for Computing Machinery (ACM) has awarded its annual Prize in Computing to Matei Zaharia for his work developing open source data and analytics software, including the widely used ...

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.

Senior Solutions Architect at Databricks, where she architects enterprise-scale data and AI solutions for Fortune 500 companies. Once you have deployed a machine learning model to production, it ...

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 ...