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Meet Luka Pataky. As the SVP, of Automated Content at Sportradar, he shares how Computer Vision’s capabilities, from advanced AI video analysis to real-time data collection, are revolutionizing the sports industry for fans, broadcasters, and bettors.
Luka Pataky is the Senior Vice President, of Automated Content at Sportradar, and has been with the sports technology company for over nine years.
Luka is responsible for deploying Artificial Intelligence, Computer Vision, and Machine Learning technology across Sportradar’s portfolio of sports properties to capture and create the content that feeds the company’s products and services.
Luka is based in Vienna, Austria.
Luka Pataky is the Senior Vice President, of Automated Content at Sportradar, and has been with the sports technology company for over nine years.
Luka is responsible for deploying Artificial Intelligence, Computer Vision, and Machine Learning technology across Sportradar’s portfolio of sports properties to capture and create the content that feeds the company’s products and services.
Luka is based in Vienna, Austria.
Twenty years ago, the story of any sport was defined by its raw scores and stats. Fast forward to the era of Gen Z, broadcasters and betting operators face the monumental challenge of standing out amidst a flood of content and data. To engage viewers, it’s vital to highlight the dramatic moments and deeper stories behind the games in real time, bring new insights onto the screens and let viewers immerse into the games.
On your podcast, Luka will delve deep into the transformative role of Computer Vision in the sports industry. Specifically, how AI mimics human vision capabilities at an exponentially advanced rate, to understand sports moments in real time, create data and enable new insights and viewing experiences. Your listeners will learn about how Computer Vision and AI help to personalize fan experiences, understand deep data’s importance and envision a future where sports merge seamlessly with virtual realms.
Deep sports data delivered at ultra-low latency is critical for sports betting operators looking to create new products and engage their customers more deeply. The introduction of micro-markets, a new, faster form of in-play betting, could account for nearly $7 billion of an estimated $9 billion annual spend on sports betting in the U.S. by 2025 – providing operators have access to the required real-time data.
On your podcast, Luka will unpack how Sportradar’s Computer Vision technology is addressing this lag in the betting world and unlocking the opportunity for new faster betting markets. Deploying the technology within table tennis in the first instance, the sports technology company has leveraged advanced video analysis to capture an unparalleled depth of data to engineer 300 opportunities for each match. Luka will discuss how this subset of AI is set to transform betting, tapping into real-time events and capturing a vast market potential.
If there is a specific topic you would like Luka to focus on during the interview that is not listed here, please do let us know.
We would be more than happy to run this by Luka to see if he was able to talk in detail and deliver value to your audience.