Generative AI Category on Addepto's blog

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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

Data Fabric for AI Agents: Architecture, Knowledge Graphs & Implementation Guide

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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Generative AI
June 11, 2026

What is OpenAI API and How to Use It? Step by Step Guide for 2026

AI technology has steadily become more powerful in recent years and is poised to transform even more industries in the f...
Generative AI
June 03, 2026

LangChain vs. LlamaIndex: Which Framework Should You Choose in 2026?

Choose LangChain + LangGraph when your bottleneck is orchestrating complex, tool-heavy agents with branching logic, appr...
Generative AI
April 15, 2026

What Are Large Language Models (LLMs) and Why They Matter for Businesses in 2026

Large Language Models (LLMs) are advanced AI systems trained on vast amounts of textual data using deep learning techniq...
Generative AI
April 15, 2026

LLM Implementation Strategy: Preparation Guide for Using LLMs

The world has come a long way since the development of first-generation computers in the 1940s and 50s. In a decade, org...
Generative AI
April 03, 2026

How LLMs Could Help Migrate Legacy Systems

Legacy code modernization has moved from a periodic IT project to a continuous engineering discipline — driven by clou...
Generative AI
Computer Vision
March 31, 2026

Why Computer Vision Still Beats LLMs for Industrial Inspection, Safety, and Compliance

When the problem is visual, spatial, or time-critical — defect detection, safety monitoring, metrology, compliance evi...
Generative AI
March 20, 2026

Generative AI Strategy: A Comprehensive Implementation Guide

Generative AI pushes computing into a different category. Instead of processing inputs and returning predefined outputs,...
Generative AI
Data Engineering
March 17, 2026

A Comprehensive Overview of the Databricks AI Capabilities

In 2025 and early 2026, Databricks offers a comprehensive suite of generative AI tools built on its data lakehouse and D...
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...
Use Cases
Generative AI
March 09, 2026

Top 15 LLM Use Cases for Business in 2026

In the past few years, Large Language Models (LLMs) have completely transformed how machines understand and generate nat...
Generative AI
March 06, 2026

Gemini 2.5 vs GPT-5 vs Claude Opus 4: Which LLM Wins in 2026?

By 2026, the question is no longer "which LLM is best?" — it's "which LLM fits this specific job?" The market has move...
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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