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Data Engineering
June 19, 2026

Databricks Data + AI Summit 2026: What’s Actually Happening

Databricks Data + AI Summit 2026 on June 16–17 revealed a fundamental shift in how Databricks approaches data infrastr...
AI Agents
Data Engineering
July 06, 2026

Databricks Omnigent: Multi-Agent Orchestration, Cost Control, and Governance Explained

Omnigent is an open-source meta-harness that sits above your existing agents (Claude Code, Codex, Pi, custom agents) and...
Data Engineering
July 03, 2026

Databricks LTAP: Lake Transactional/Analytical Processing for Operational AI

LTAP (Lake Transactional/Analytical Processing) is a unified data architecture, just introduced by Databricks, that prop...
AI Agents
June 19, 2026

AI‑Ready Data Layer (Data Fabric) for Agents: Cut Integration Time & Hallucinations

Data fabric is the infrastructure pattern that solves a critical problem in AI agent deployments: providing models with ...
Data Engineering
June 22, 2026

Data Fabric on Databricks. How to Build a Governed, AI‑Ready Platform?

AI projects fail because your data is a mess. Customer data lives in your CRM, order data lives in your warehouse, suppo...
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Artificial Intelligence
March 19, 2026

The Unvarnished Truth About AI Implementation

Artificial Intelligence has been heralded as a transformative force across industries, but the reality of AI implementat...
AI Agents
March 19, 2026

How to Successfully Implement Agentic AI in Your Organization

By 2026, agentic AI is no longer an emerging technology — it's how a growing share of enterprise AI workloads actually...
Data Engineering
March 18, 2026

What Is Agent Bricks? Databricks’ Approach to Building Governed AI Agents at Scale

Agent Bricks is a meaningful architectural step toward making enterprise AI agents viable in production by embedding the...
Artificial Intelligence
March 17, 2026

Why AI Coding Tools Don’t Speed Up Software Delivery — And How to Fix It

AI coding tools make individual developers significantly faster, but most engineering organizations aren't shipping feat...
Addepto News
March 17, 2026

We’re Joining KMS Technology: Our Next Chapter Begins

Addepto, a leading AI and data engineering company, has been acquired by KMS Technology, a U.S.-based software and produ...
Data Engineering
March 16, 2026

Top 7 Databricks Partners for Implementation, Migration, and Optimization in 2026

Databricks is no longer just “a place to run Spark.” It has evolved into a strategic data and AI operating layer for...
Generative AI
March 16, 2026

How to Build an LLM Model Using Google Gemini API

Multimodal AI has significantly expanded the capabilities of modern machine learning systems. Over the past few years, t...
People & Culture
March 13, 2026

Meet Our Manager – Monika

We'd like to introduce our AI Project Manager, Monika  Monika joined us almost a year ago as a Project Manager. With...
Data Engineering
Artificial Intelligence
March 12, 2026

Why Building Enterprise AI Right Is Mostly About the Edge Cases

Anyone can wire up a large language model and demo it on clean data. I've seen it done in an afternoon. The hard part ...
Machine Learning
March 12, 2026

What is Entropy in Machine Learning?

Entropy in machine learning is a mathematical measure of uncertainty or disorder in a probability distribution — origi...
Addepto News
March 11, 2026

Beyond the Acquisition: How KMS Technology and Addepto Are Bridging the AI Production Gap

In December 2025, KMS Technology — a U.S.-based Digital Engineering, Data, and AI services company headquartered in At...
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Transform Engineering Chaos into Strategic Clarity

Discover how AI turns CAD files, ERP data, and planning exports into structured knowledge graphs-ready for queries in engineering and digital twin operations.

read more about Transform Engineering Chaos into Strategic Clarity