Databricks Data + AI Summit 2026 on June 16–17 revealed a fundamental shift in how Databricks approaches data infrastr...
Omnigent is an open-source meta-harness that sits above your existing agents (Claude Code, Codex, Pi, custom agents) and...
LTAP (Lake Transactional/Analytical Processing) is a unified data architecture, just introduced by Databricks, that prop...
Data fabric is the infrastructure pattern that solves a critical problem in AI agent deployments: providing models with ...
AI projects fail because your data is a mess. Customer data lives in your CRM, order data lives in your warehouse, suppo...
Databricks built the Genie family to answer one recurring complaint: companies invest in a modern data platform, but bus...
Vision-based inspection can now catch 100% of visible surface defects on a line, but that alone won't get you to zero de...
The Databricks Certified Data Engineer Associate exam validates an individual's ability to build, maintain, and operate ...
Predictive maintenance gets pitched as a machine learning success story: better algorithms, better predictions, lower do...
Snowflake and Databricks are no longer just data platforms – they are competing visions for how enterprises will build...
Data engineering is the infrastructure layer that makes AI and analytics possible — and in 2026, choosing the right ve...
Agentic AI in data engineering means AI systems that don't just execute instructions , they reason, adapt, and act on th...
Discover how AI turns CAD files, ERP data, and planning exports into structured knowledge graphs-ready for queries in engineering and digital twin operations.