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Amazon’s AWS Partners with NBA to Power New AI Basketball Platform

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Amazon Web Services (AWS), the cloud computing arm of Amazon.com, has signed a multi-year partnership with the National Basketball Association (NBA) to create AI-driven features, analytics, and fan experiences across the league’s digital platforms.

The collaboration, announced on Wednesday, will debut “NBA Inside the Game”, a new AI-powered platform designed to transform in-game data into interactive insights for fans, teams, and broadcasters. The deal’s financial terms were not disclosed.

A NEW ERA OF DATA-DRIVEN BASKETBALL

The NBA’s new system will leverage AWS’s machine learning and data processing tools to analyze real-time game statistics and produce advanced visualizations. The features will appear across live broadcasts, the NBA App, the league’s official website, and social media channels, providing deeper, faster, and more personalized insights into gameplay.

Fans will be able to see advanced statistics — such as defensive positioning, shot success probabilities, and team strategy analytics — generated instantly by AI models trained on player and game data.

Teams will also gain access to the data, enabling them to review matches, adjust strategies, and identify player performance trends.

“Whenever we build a statistic, there is always input from our teams,” said Ken DeGennaro, the NBA’s Head of Media Operations and Technology. “We want to ensure that these services not only engage fans but also help our teams improve their on-court strategies.”

AI’S GROWING PRESENCE IN SPORTS

The partnership reflects a broader trend in global sports toward AI integration, where leagues increasingly partner with tech giants to enhance both fan engagement and team performance.

Earlier this year, Microsoft signed a five-year deal with the English Premier League to embed its AI Copilot technology into the league’s digital ecosystem, illustrating how artificial intelligence is reshaping the business of sports.

For AWS, the deal strengthens its expanding presence in sports analytics — a field where its technology already powers insights for organizations like Formula 1, the NFL, and Bundesliga.

As part of the NBA collaboration, AWS will handle data collection, analysis, and visualization in real time, helping redefine how fans experience basketball and how coaches and players analyze it.

Nvidia eyes $500 million investment in UK self-driving startup Wayve

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Nvidia has signed a letter of intent to invest $500 million in Wayve, a London-based autonomous driving technology company, during its next funding round, Wayve confirmed Thursday. The move underscores Nvidia’s growing push into self-driving and follows a broader U.S.-UK technology pact to deepen cooperation in artificial intelligence.

Founded in 2017, Wayve has developed a machine-learning approach to autonomous driving that differs from conventional systems. Instead of relying heavily on pre-mapped roads, its AI learns directly from traffic patterns and human driver behavior using vehicles equipped with camera sensors.

Wayve raised over $1 billion in 2023, led by SoftBank with backing from Nvidia, while Uber invested separately in 2024. Its autonomous driving platforms already use Nvidia chips, linking its growth to the broader global AI hardware surge.

The company operates in both the UK and U.S., while expanding testing into markets such as Germany and Japan. Nvidia’s latest move comes alongside a pledge to invest £2 billion ($2.7 billion) in Britain’s AI startup ecosystem, a signal of its commitment to both mobility technology and the UK’s broader AI ambitions.

Eli Lilly Unveils AI-Powered TuneLab to Speed Drug Discovery

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Eli Lilly (LLY.N) announced on Tuesday the launch of TuneLab, an artificial intelligence and machine learning platform designed to give biotech companies access to advanced drug discovery models trained on decades of Lilly’s research data.

The platform represents more than $1 billion in proprietary data investments and aims to level the playing field by letting smaller biotech firms access the same AI-driven tools Lilly scientists use internally.

“Lilly TuneLab was created to be an equalizer so that smaller companies can access some of the same AI capabilities used every day by Lilly scientists,” said Daniel Skovronsky, Lilly’s chief scientific officer.

Two biotech firms — Circle Pharma and insitro — are already early partners. Circle will apply TuneLab’s tools to cancer drug development, while insitro will contribute new AI models for small molecule discovery, enhancing TuneLab’s capabilities.

The move reflects a broader industry shift toward AI in research and development. Analysts at Jefferies forecast that AI-related R&D spend could reach $30–40 billion by 2040, as drugmakers adopt AI for discovery, testing, and reducing reliance on animal studies, in line with FDA goals.

TuneLab operates on datasets covering hundreds of thousands of unique molecules. In exchange for access, biotech partners provide their own training data, further strengthening the platform’s predictive power and long-term value.