Data Science 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

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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Data Science
July 14, 2026

Data Science vs. Data Engineering: What’s The Difference?

Since the emergence of big data and data science as a necessity in the everyday life of large companies, there has been ...
Data Science
June 17, 2026

Data Science Project Estimation Techniques

Data science, AI or - broader - big data projects are hard to estimate precisely because the project itself often surfac...
Machine Learning
Data Science
Big Data
June 10, 2026

Deep Learning Analytics

Deep learning analytics uses layered neural networks — a more advanced branch of machine learning — to turn large, c...
Data Science
May 07, 2026

OpenAI API for Data Analysis and Anomaly Detection: A 2026 Practical Guide

Using the OpenAI API for data analysis and anomaly detection in 2026 comes down to combining a handful of building block...
Data Science
April 21, 2026

Proof of Concept (PoC) in AI and Data Science: A 2026 Practical Guide

In 2026, almost every enterprise AI initiative starts the same way: with a proof of concept (PoC). The wave of generativ...
Data Science
March 09, 2026

Is Data Science in Mechanical Engineering Useful?

It’s vital to know how to wade through information, especially in an era when enormous amounts of data are generated e...
AI Software
Data Science
August 04, 2025

What is Algorithm Bias?

Algorithm bias is systematic and repeatable errors in AI systems that create unfair outcomes, typically favoring one gro...
Data Science
Artificial Intelligence
July 25, 2025

What Is Tokenization?

Tokenization is the process of converting text into smaller, standardized units called tokens that language models can m...
Data Science
Big Data
May 30, 2025

What is data Augmentation?

Data augmentation transforms existing data into new training examples by applying carefully designed modifications that ...
Data Science
Big Data
April 02, 2025

Data Science Use Cases (See 8 Real Applications)

Nowadays, absolutely everything is based on data. It doesn’t really matter if you sell shoes, run a marketing agency o...
Use Cases
Data Science
May 06, 2024

Data Science in Marketing: Best Use Cases

Today, there can be no marketing without data science. In fact, data science in marketing is a cornerstone for at least ...
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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