AI, Machine Learning, Reinforcement Learning, and MLOps Articles

How to Build AI Agents for Data Analytics: A Practical Guide with Python

Published

Jul 30, 2025

Author

Dr. Phil Winder

CEO

Tired of static dashboards that never quite answer the real question you want to ask?

AI language models, popularised by ChatGPT, have gained notoriety for being able to understand queries with human-levels of quality. By plugging this bots into your data sources you can finally get all the answers you desire, by simply asking. (I still say please and thank you!)

In this article, I explore what these so-called “AI Agents” are (not the greatest name), how they work their magic, and the fun things you can do once connected to your data. We’ll dive into some example code and architectures and show off some (hopefully) working demos.

Generative AI Implementation for Lawyers: IP, Data-Protection & Contracting Risks

Published

Jun 22, 2025

Author

Dr. Phil Winder

CEO

Curious how AI projects really unfold beyond the hype and what risks lawyers must spot before they commit to projects? In this candid fireside chat, AI veteran Dr Phil Winder teams up with Mills & Reeve tech-law partner Paul Knight to swap war stories, legal landmines and practical guardrails from the front lines of implementation. This 40-minute session arms you with the insider insights every in-house team needs before signing their next AI deal.

Early Adopter Release of Kodit: MCP server to index external repositories

Published

Jun 9, 2025

Author

Dr. Phil Winder

CEO

A lot of my work today is assisted with AI. From editing blog posts to developing proposals. But the number one use case is AI-assisted coding. Tools like Cursor,l Cline, Roo, Aider, Claude Code, etc. have disrupted software engineering to levels I hadn’t anticipated. But still, it’s not perfect.

This post is about one particular set of problems and a new open source tool I developed to alleviate it.

AI in Aviation Case Study: Flight Scheduling Using Digital Twins and Reinforcement Learning

Published

Jun 6, 2025

Author

Dr. Phil Winder

CEO

Using digital twin data to build flight traffic simulators and train reinforcement learning AI agents. A leading aerospace business and Winder.AI opened new horizons for dynamic, data-driven scheduling solutions that integrate with our client’s advanced flight planning technology.

AI-Native Transformation: How AI is Driving Organisational Change

Published

May 28, 2025

Author

Dr. Phil Winder

CEO

As AI-native transformation reshapes the technology landscape, organizations must rethink not just their tools but their entire structures and processes. Simply adopting AI technologies is not enough. True transformation requires organizational change, guided by a deep understanding of both technical feasibility and business value. Our AI consulting team helps organizations navigate this complex transformation journey.

Intro to Vision RAG: Smarter Retrieval for Visual Content in PDFs

Published

Apr 30, 2025

Author

Dr. Phil Winder

CEO

As visual data becomes increasingly central to enterprise content, traditional retrieval-augmented generation (RAG) systems often fall short when faced with richly visual documents like PDFs filled with charts, diagrams, and infographics. Vision RAG is a cutting-edge pipeline that leverages vision models to generate image embeddings, enabling intelligent indexing and retrieval of visual content.

In this session, you’ll explore the state of the art in visual RAG, see a live demo using open-source tools like VLLM and custom Python components, and learn how to integrate this capability into your own GenAI stack. The presentation will also highlight Helix, our secure GenAI platform, showcasing how Vision RAG fits into a scalable, enterprise-ready solution.

User Feedback in LLM-Powered Applications

Published

Mar 26, 2025

Author

Dr. Phil Winder

CEO

Building LLM-powered applications is challenging. But the most important challenge is when products are not useful to their users. This presentation is about the different ways you can gather feedback to improve LLM applications. I’ll review the state of the art, offer some practical tips, and share some examples.

AI in Aviation Case Study: Predicting Taxi Times

Published

Mar 16, 2025

Author

Dr. Phil Winder

CEO

Leveraging predictive analytics and a stand-to-runway modelling approach, Winder.AI and our aviation client improved taxi time predictions to reduced ground delays and improve fuel efficiency.

Scaling GenAI to Production: Strategies for Enterprise-Grade AI Deployment

Published

Feb 17, 2025

Author

Natalia Kuzminykh

Associate Data Science Content Editor

The article examines the challenges of moving GenAI from prototypes to production. It highlights issues such as resource constraints, performance monitoring, cost management, and security, and suggests strategies for efficient scaling, robust guardrails, and continuous monitoring to ensure sustainable enterprise-grade deployments.

Enterprise AI Assistants: Combatting Fragmentation

Published

Jan 16, 2025

Author

Dr. Phil Winder

CEO

Enterprise AI Assistants unify disparate data sources, providing real-time insights and access control. Building domain-specific assistants and orchestrating them (hierarchical or federated) offers scalability, specialized features, and better performance than single-vendor solutions. Ultimately, organizations need a tailored approach that consolidates knowledge, fosters collaboration, and addresses evolving AI integration challenges.