IBM and Bayer 04 Leverkusen Deploy AI-Powered Game Analysis Platform
IBM and Bayer 04 Leverkusen have introduced a new AI-powered platform for football analysis, announced in a press release. The system combines data and video analytics to reduce manual work for analysts, scouts, and decision-makers in professional football.
The platform runs entirely on IBM Cloud and integrates multiple IBM technologies, including watsonx.ai Studio for creating and adapting AI models, and watsonx.ai Runtime for embedding AI processes into existing workflows. It uses IBM Cloud Object Storage for video data and IBM Cloud Serverless Computing to handle compute-intensive tasks.
This cloud-based solution automates image recognition and pattern detection, enabling faster and more precise analysis of game and training data. The collaboration aims to optimize data processing, improve scalability, and enhance the user experience for football professionals.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Enterprise
Sep 20 Litera Brings Foundation Firm AI Search to ChatGPT Enterprise Sep 19 Collinson Funds Priority Pass AI and App Expansion Through £500 Million Program Sep 19 Disney Names Former Character.ai CEO as Its First CTO Sep 19 Anthropic Picks Accenture for AI Safety Testing Sep 19 Huawei Unveils Immersive Telepresence SystemMore from AI in Sports
Sep 17 NeoPace Launches G10 Pro AI Golf Monitor on Kickstarter Sep 15 Orange Lion Sports Unveils Smartshot 2.0 for Tennis Sep 10 Mid-American Conference Selects uReport for Content Creation Sep 5 Sony Technology Supported 630 NFL Officiating Events in 2025 Sep 3 ACEMATE Unveils $2,999 S10 Pro AI Tennis RobotEnterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
IBM and NASA Release Open Source AI Model for Lunar Research
Huawei Cloud Stack Adds Architecture for AI Agents
Hubstaff Opens Workforce Data to AI Agents
Ai Global Solutions Launches Financial Services Practice
IBM Launches K-12 AI Leaders Fellowship
Daily AI Brief: the AI news that matters, in your inbox.