Traditional approaches -- such as Win Probability Added (WPA)-based ranking or computer vision-driven event detection -- can identify scoring plays but often miss strategic depth, momentum shifts, and storyline progression. Manual curation remains the gold standard but is resource-intensive and not scalable. We introduce DIAMOND, an LLM-driven agent for context-aware baseball highlight summarization that integrates structured sports analytics with natural language reasoning. DIAMOND leverages sabermetric features -- Win Expectancy, WPA, and Leverage Index -- to quantify play importance, while an LLM module enhances selection based on contextual narrative value. This hybrid approach ensures both quantitative rigor and qualitative richness, surpassing the limitations of purely statistical or vision-based systems. Evaluated on five diverse Korean Baseball Organization League games, DIAMOND improves F1-score from 42.9% (WPA-only) to 84.8%, outperforming both commercial and statistical baselines. Though limited in scale, our results highlight the potential of modular, interpretable agent-based frameworks for event-level summarization in sports and beyond.

The World Cup 2018 is all over. Germany was kicked out in the group stages, Brazil was beaten by Belgium, football didn't come home to England, Croatia with its population of four million people reached the final for the first time ever, only to lose to France in the end. Beyond being glued to our screens to watch the action on pitch, we've been looking at what newsrooms are doing off-pitch to cover the competition… with automation and artificial intelligence. Fox Sports (US) teamed up with IBM Watson to make AI-powered highlight videos, French publication Le Figaro created automated visual summaries, and The Times (UK) launched its very own World Cup Alexa Skill. The US didn't qualify for the World Cup this year, but that didn't stop Fox Sports from airing all 64 matches and teaming up with IBM Watson to create the World Cup highlight machine.

The upcoming Wimbledon championships mark the last before All England Lawn and Tennis Club (AELTC) takes responsibility from the BBC as the tournament's lead broadcaster, a shift that has seen it double-down on content production and experiment with new technologies, including artificial intelligence (AI). The AELTC has been flexing its digital muscles for some time now, working with IBM over the past two years to overhaul its data-capabilities, website and apps, and forge tech partnerships in the hopes of shedding its self-described "stuffy" image. As it stands, Wimbledon trebled its mobile audience last year, while its app was downloaded 1.5 million times in 2016. Now, as it faces a future with greater control of its content output it's testing the waters on how technology might help its still-limited team scale, particularly on video. With an average of three matches per court per day there is hundreds of hours of footage an editor might have to sift through for a highlights reel.

The upcoming Wimbledon championships mark the last before All England Lawn and Tennis Club (AELTC) takes responsibility from the BBC as the tournament's lead broadcaster, a shift that has seen it double-down on content production and experiment with new technologies, including artificial intelligence (AI). The AELTC has been flexing its digital muscles for some time now, working with IBM over the past two years to overhaul its data-capabilities, website and apps, and forge tech partnerships in the hopes of shedding its self-described "stuffy" image. As it stands, Wimbledon trebled its mobile audience last year, while its app was downloaded 1.5 million times in 2016. Now, as it faces a future with greater control of its content output it's testing the waters on how technology might help its still-limited team scale, particularly on video. With an average of three matches per court per day there is hundreds of hours of footage an editor might have to sift through for a highlights reel. To that end, it has used AI for the first time to automatically create'video highlights packages' that can be sent out to audiences directly or passed on to content partners within just 30 minutes, rather than the near hour is used to take.

Demonstrating the continual innovation that takes place around its major sporting events, IBM Research and IBM iX are teaming up to provide "Cognitive Highlights" to The Championships, Wimbledon, the oldest tennis tournament in the world, to demonstrate how AI technology can scale and accelerate the video production process for any media, sports or entertainment company. It was in April that IBM Research and IBM iX first explored this project, creating the first ever multi-modal system for analyzing golf video for the 2017 Masters Golf Tournament. The proof-of-concept brought together computer vision and other leading AI technologies to listen, watch and learn from a live video feed of the golf tournament and automatically identify and curate the most exciting moments and shots into segments that could be used in online highlight packages. The solution for Wimbledon will go beyond selecting and curating individual segments for a video editor to choose from, to automatically creating a one to two minute highlights package of matches for the Wimbledon editorial team's use across the Wimbledon Digital Platforms, and which will be available shortly after each match. Moreover, instead of a four-day tournament at The Masters, IBM will contend with a 13-day championship at The All England Lawn Tennis & Croquet Club that starts next Monday July 3rd.

Microsoft's showcasing the power of universal apps, machine learning, and the Microsoft ecosystem with Story Remix, an intriguing new app that helps you create personalized videos quickly and easily. Story Remix intelligently pulls from your collection of videos and images to create highlight videos of events on the fly, or you can start a new album of your own. So far, so blah--Google Photos already does that. But Story Remix shakes things up with powerful editing tools and integration with Microsoft's Remix 3D service to add "mixed reality" digital images and animations to your projects. It looks remarkably simple and surprisingly powerful.