AI Document Processing vs Traditional OCR: What Actually Changed
Traditional OCR reads characters. AI document processing understands meaning. Here's what changed, why it matters, and when to upgrade from basic scanning.
Dr. Phil Winder
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7 minArticles in this topic
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Dr. Phil Winder
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7 min
What Is Document Intelligence? A Complete Guide for 2026
Document intelligence uses AI to read, classify, and extract data from unstructured documents. Learn how it works, where it's used, and how it compares to OCR.
Dr. Phil Winder
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8 min
How to Migrate a Codebase from Python to Go Using an AI Coding Assistant
A practical methodology for using Claude Code to migrate a production Python codebase to Go, including what worked, what failed, and what the human still needs to own.
Dr. Phil Winder
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11 min
How to Build AI Agents for Data Analytics: A Practical Guide with Python
Learn how to build AI agents that answer data questions using natural language. Includes Python code examples and BigQuery integration tutorial.
Dr. Phil Winder
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5 min
Generative AI Implementation for Lawyers: IP, Data-Protection & Contracting Risks
An interview with Paul Knight (Mills and Reeve) where we discuss what AI adoption means for in-house counsels and others in the legal profession.
Dr. Phil Winder
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4 min
Early Adopter Release of Kodit: MCP server to index external repositories
Kodit lets AI coding assistants see your private or newest repos—no retraining required.
Dr. Phil Winder
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5 min
AI-Native Transformation: How AI is Driving Organisational Change
Learn how AI-native transformation impacts businesses, drives change, and how to prepare your organisation for future waves of innovation.
Dr. Phil Winder
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4 min
Enterprise AI Assistants: Combatting Fragmentation
Data silos are a cause of fragmentation in the enterprise. But what if we could use AI Assistants to connect them?
Dr. Phil Winder
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12 min
Keynote: Data Transparency, AI Use Cases, Data Sovereignty
Discover how AI drives business success with insights on data management, transparency, regulation, and actionable strategies for 2025.
Dr. Phil Winder
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7 min
Large Language Model Fine-Tuning via Context Stacking
Discover how context stacking revolutionises LLM fine-tuning with minimal data for faster AI deployment.
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