Machine Learning 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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Machine Learning
June 11, 2026

Deep Learning Architecture: Selection, Cost and Limitations

In 2026, transformers are the dominant deep learning architecture – the engine behind every major LLM, most state-of-t...
Machine Learning
Artificial Intelligence
April 26, 2026

Machine Learning and AI – Comparison

Key Takeaways AI is the broader goal — building systems that act intelligently. Machine learning is one approach ...
Machine Learning
April 08, 2026

What Are the Top 10 Challenges of Machine Learning?

Machine learning has changed dramatically since 2021, when this article was first published. The wave of generative AI, ...
Machine Learning
April 03, 2026

Machine Learning in Healthcare: Benefits, Use Cases, and Challenges

The 2020s have marked a period of fundamental reconfiguration of healthcare systems under the influence of the dynamic d...
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...
ContextClue
Machine Learning
February 25, 2026

Text Extraction From Images Using Machine Learning

Do you remember our previous article about image processing and computer vision? If not, it is worth revisiting it to be...
Machine Learning
February 23, 2026

The Role of Machine Learning in Bioinformatics and Biology

Machine learning has multiple applications in diverse fields, ranging from natural language processing to healthcare. Bi...
Machine Learning
January 21, 2026

Machine Learning Datasets

Key Takeaways Machine learning datasets can come from two main sources: data your organization already owns, or pub...
Machine Learning
January 17, 2026

Machine Learning Classification

Classification is one of the most common tasks in machine learning. It covers a wide variety of business needs from pred...
AI Software
Machine Learning
December 30, 2025

How AI and Machine Learning Enhance Your SaaS Product

Artificial Intelligence (AI) is one of the cutting-edge emerging technologies that attract a lot of attention and funds....
Machine Learning
March 16, 2025

What is unsupervised learning? Definition and examples

Unsupervised learning allows AI to analyze raw data, uncover patterns, and make data-driven decisions without human inte...
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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