Why Most Enterprise AI Projects Stop at the Demo
Why Most Enterprise AI Projects Stop at the Demo
Artificial intelligence and machine learning
Why Most Enterprise AI Projects Stop at the Demo
Build an Enterprise ready 2nd Brain on Azure Foundry + Cosmos DB
Azure
Processing hundreds of multi-page PDF forms manually is exactly the kind of repetitive work that AI should handle. I built an automated document processing pipeline on Azure that splits PDFs, extracts structured data using AI, and stores results — all triggered by a simple file upload. The Problem Imagine receiving a
AI/ML
What if you could query databases, search documents, and run multi-tool AI workflows — all without a single byte leaving your machine? That's exactly what I built with the Local LLM Universal Research Agent. The Problem Most AI agent frameworks assume cloud APIs. That's fine for many
AI/ML
How I run 34 large language models locally using Ollama on consumer GPUs, with practical tips on model selection, performance, and integration.