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...
Predictive maintenance gets pitched as a machine learning success story: better algorithms, better predictions, lower do...
Computer vision didn't need the generative AI boom to be useful - by 2024, industrial computer vision alone was a US$9.6...
The field of generative AI has seen significant strides since the development of the ELIZA chatbot in the 1960s. Back th...
In 2026, approximately 221 zettabytes (ZB) of data are expected to be generated worldwide, up from 181 ZB in 2025. Every...
Most organizations are now deploying AI agents, seeing usage-based costs climb, and struggling to explain those dynamics...
Snowflake and Databricks are no longer just data platforms – they are competing visions for how enterprises will build...
Companies have poured hundreds of billions into AI since 2023. Yet 80% of AI projects never reach production. When they ...
Agentic AI marks a shift from passive, one-shot responses to active, goal-oriented systems that can operate as genuine c...
Discover how AI turns CAD files, ERP data, and planning exports into structured knowledge graphs-ready for queries in engineering and digital twin operations.