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...
Organizations across industries are discovering that engineers and technical professionals spend significant time search...
Model Context Protocol (MCP) is an open standard for AI integration — connecting AI applications to external tools and...
AI pricing was easy to ignore when LLMs were still side projects. A few thousand dollars in token spend could disappear ...
Data fabric is a way of connecting the data systems you already have – CRM, ERP, ticketing, warehouses – into one go...
By mid-2026, nearly every software consultancy, data engineering firm, and digital agency claims to "build AI agents." M...
Most organizations are now deploying AI agents, seeing usage-based costs climb, and struggling to explain those dynamics...
Agentic AI marks a shift from passive, one-shot responses to active, goal-oriented systems that can operate as genuine c...
By 2026, agentic AI is no longer an emerging technology — it's how a growing share of enterprise AI workloads actually...
Enterprises are rapidly deploying LLM-powered AI agents to automate complex workflows, enhance decision-making, and scal...
Discover how AI turns CAD files, ERP data, and planning exports into structured knowledge graphs-ready for queries in engineering and digital twin operations.