Generative AI Category on Addepto's blog – Page 7

Featured articles

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...
Categories:
All
ContextClue
Addepto News
Use Cases
AI Agents
AI Industry News
MLOps
Generative AI
People & Culture
Data Analytics
Data Engineering
AI Software
Machine Learning
Business Intelligence
Computer Vision
Data Science
Big Data
Artificial Intelligence
Generative AI
February 28, 2024

Generative AI for Data Augmentation: How to Use It

Machine learning models require vast amounts of training data to be accurate and effective. This data has to be represen...
Generative AI
February 21, 2024

Google Gemini: How Can It Be Used?

Google is a major player in the tech sector. Therefore, it comes as no surprise that it has invested significant resourc...
Generative AI
January 25, 2024

Closed API vs. Open-Source API: Gen AI Cost Strategies

How much does it really cost to run a generative AI model? While one might consider open-source models to be more cost-e...
Generative AI
January 03, 2024

Comprehensive Guide to Multimodal AI Models

The past decade has seen monumental advancements in the field of AI. While traditional AI models focused primarily on si...
Generative AI
November 29, 2023

How Do Vector Databases Work in Domain-Specific Modeling?

The vector database market is predicted to grow to $4.3 billion in 2028, up from $1.5 billion in 2023. [1] There's also ...
Generative AI
Artificial Intelligence
November 27, 2023

Top 8 Open-Source LLMs for 2025 and Their Use Cases

The past decade has seen a surge in cutting-edge smart technologies, most notably the creation and mainstream infiltrati...
Generative AI
November 20, 2023

Generative AI Strategy Is a Must-Have: How to Build It

In the ever-evolving landscape of Artificial Intelligence (AI), generative AI stands as the cornerstone for innovation, ...
Generative AI
November 02, 2023

AI Document Processing: What is the Use of AI in Document Processing?

95% of corporate information exists in the form of paper documents. [1] As such, organizations require a tremendous amou...
Generative AI
October 13, 2023

OpenAI API Alternatives: Selecting the Right Large Language Model for Your Use Case and Budget

OpenAI has been at the forefront of generative AI systems development for nearly a decade now. The company has created s...
Generative AI
October 10, 2023

Fine-Tuning LLMs. Benefits, Costs, Challenges

Large Language Models (LLMs) have completely revolutionized the field of Artificial Intelligence (AI) and Machine Learni...
Generative AI
September 20, 2023

Open Source LLMs: Navigating the Landscape

In today's fast-paced global business environment, organizations are constantly looking for innovative solutions to impr...
+

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