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...
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...
Large language models are inherently mathematical prediction engines trained to determine the most probable subsequent t...
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...
Enterprise AI reached a definitive inflection point in early 2026. After years of isolated machine learning experiments ...
Why AI Audits Are Moving From Models to Systems and What to Do About It In March 2023, Italy’s data protection auth...
This article is based on an analysis conducted during Addepto’s technical webinar, discussing the architecture and com...
AI agents are no longer experimental pilots. Retailers, banks, and manufacturers already use them in supply chains, HR, ...
Discover how AI turns CAD files, ERP data, and planning exports into structured knowledge graphs-ready for queries in engineering and digital twin operations.