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...
Data science, AI or - broader - big data projects are hard to estimate precisely because the project itself often surfac...
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...
In 2026, transformers are the dominant deep learning architecture – the engine behind every major LLM, most state-of-t...
We'd like to introduce our Project Manager - Magda. With around 10 years of experience in the IT industry, she has b...
McKinsey's 2026 state of AI analysis reveals that seventy-eight percent of manufacturing organizations have integrated a...
Discover how AI turns CAD files, ERP data, and planning exports into structured knowledge graphs-ready for queries in engineering and digital twin operations.