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Thoughts on AI and ML, sports broadcasting, and the future of automated content creation.

What Is Computer Vision in Sports?

Computer vision in sports is AI that interprets video — finding the ball, players and events — to power tracking, highlights, stats and graphics.

21 July 2026Read article

Innovate & Inspire18 July 2026

What Is Broadcast Automation?

Broadcast automation uses software to run production tasks — playout, graphics, clipping, tagging — that crews once did by hand.

Ai in Action 16 July 2026

How Is AI Used in Football? The Complete Guide

AI is used in football for event detection, automatic highlights, player tracking, performance analysis and officiating support.

Ai in Action 14 July 2026

How Does AI Create Automatic Sports Highlights?

AI creates automatic sports highlights by detecting key match events, ranking them for editorial relevance, then assembling and delivering clips.

Behind RISE12 July 2026

What Working in Live Broadcast Taught Me About Building Better Tools

Working in live broadcast teaches you a useful kind of intolerance. You stop caring about theory if the workflow is awkward. You stop admiring features that nobody needs.

Behind RISE5 July 2026

Why I’m Not Building RISE to Replace Operators

A lot of AI messaging in media is built around replacement. Fewer people. Less human involvement.

Behind RISE28 June 2026

RISE Started With a Simple Frustration: Too Much Time Wasted on the Wrong Tasks

RISE did not start because I wanted to chase an AI trend. It started because I got tired of seeing good people lose time on the wrong tasks.

Future Focus 21 June 2026

Top 5 Changes That Will Shape Live Sports Workflows

Not every change in live sports production matters equally. Some are noise. Some are incremental. A few genuinely reshape how work gets done.

Innovate & Inspire14 June 2026

Top 5 Signs a Broadcast Workflow Is Ready for Automation

Not every broadcast workflow is ready for automation. Some are too inconsistent

Ai in Action 7 June 2026

Top 5 Areas Where AI Can Save Time in Live Sports Production

The question is not whether AI can save time somewhere in live sports production. It can. The real question is where the time savings are genuine rather than cosmetic.

Future Focus 31 May 2026

Why Mid-Tier Broadcasters May Adopt AI Faster Than the Biggest Players

People often assume the biggest broadcasters will lead every meaningful technology shift because they have the money, the profile, and the engineering depth. Sometimes that is true.

Innovate & Inspire24 May 2026

Most Sports AI Demos Are Built for Investors, Not Operators

A lot of sports AI demos look impressive for the first two minutes.

Ai in Action 17 May 2026

Event Detection Is Easy. Editorial Relevance Is the Hard Part

This is one of the biggest misunderstandings in sports AI. People think once you can detect an event, you are close to solving highlights.

Future Focus 13 May 2026

What the Next 5 Years of Sports Production Actually Look Like

“Real-time” is one of the most abused phrases in sports technology. It sounds clean. It sounds decisive.

Innovate & Inspire10 May 2026

Top 10 Frictions Still Wasting Time in Sports Production

Sports production does not only lose time on giant failures. It loses time on friction

Ai in Action 3 May 2026

Top 3 Features an AI Replay Tool Actually Needs

There is a lot of noise around AI replay and highlight tools. Most of it focuses on feature count, model names, or big claims about automation.

Future Focus 26 April 2026

Why the Future of Sports Production Is Smaller Teams With Smarter Systems

Ai in Action 18 April 2026

Sports AI Accuracy: Why False Positives Break Broadcast Trust

Speed gets attention. Trust gets adoption. That is the part many AI conversations skip. In sports broadcasting, the real test of an AI system is not whether it can produce a flashy demo. It is whether a live production team can trust it...

Innovate & Inspire26 March 2026

What We Mean When We Say 'Real-Time' — And Why It Matters for Live Sports

In broadcast, 'real-time' isn't a marketing term — it's a hard technical requirement with specific latency budgets that determine whether your system is useful or not.

Innovate & Inspire22 March 2026

The $55B Sports Broadcast Market and Where the Money Is Actually Moving

The market is growing, but production budgets aren't keeping pace. That gap is where AI-assisted broadcast tools become essential, not optional.

Ai in Action 18 March 2026

Training AI on Broadcast Footage Is Harder Than You Think

Generic computer vision works great on clean data. Real broadcast feeds — with overlays, replays, ad breaks, and camera cuts — are a different challenge entirely.

Future Focus 14 March 2026

Why Sports Highlights Still Take Too Long to Produce

Fans want clips in seconds. The current production pipeline takes minutes to hours. Here's where the gap is — and what it would take to close it.

Ai in Action 10 March 2026

What Actually Happens Inside a Broadcast Truck on Match Day

A behind-the-scenes walkthrough of live sports production — from 6am load-in to final whistle — and why so much of it is still done by hand.

Behind RISE1 March 2026

Building a Sports AI Startup When You've Actually Worked in Broadcast

Domain experience isn't just a nice-to-have — it changes what you build, how you build it, and what you refuse to promise.

Innovate & Inspire22 March 2025

Why AI-powered Event Detection Could Change Everything

AI-driven event detection isn't just about technology—it's about redefining how broadcasters analyse, produce, and deliver sports content, turning real-time coverage into highly personalised experiences tailored to their audience's prefe...

Behind RISE17 March 2025

Embracing the Future: How AI Could Change the Game

Welcome to the first post in a new series where we'll dive deep into the intersection of sport, technology, and innovation, exploring how artificial intelligence (AI) could revolutionise the way we experience sports—both on and off the f...