Owl AI, an emerging company working at the crossroads of artificial intelligence, sports media, and broadcast technology, has named Jay Prasad as its new CEO.
Prasad steps into the role with a résumé that spans major corners of the media and ad-tech business. He has previously held executive positions at LiveRamp and VideoAmp, giving him deep experience in data, measurement, advertising, and the technology that increasingly powers modern entertainment distribution.
Jay Prasad joins Owl AI to expand live intelligence in sports broadcasting
Owl AI is positioning itself around what it describes as a live intelligence layer for sports broadcasts and other programming. In plain terms, the company is focused on using AI to make live content smarter, more responsive, and more useful for broadcasters, rights holders, advertisers, and potentially viewers.
The opportunity is obvious. Sports remain one of the most valuable forms of live entertainment, but the way fans watch, follow, and interact with games is changing quickly. Broadcasters are looking for tools that can enhance coverage in real time, surface meaningful data faster, improve production workflows, and create new avenues for engagement.
That is the lane Owl AI appears to be chasing: not replacing the drama of live sports, but adding technology that helps media companies understand and package those moments as they happen.
Owl AI leadership shift follows Josh Gwyther’s tenure
Prasad succeeds Josh Gwyther, the former head of AI at Google Cloud. Gwyther’s background brought heavyweight artificial intelligence credibility to the startup, while Prasad’s appointment suggests Owl AI is now leaning into commercialization, media partnerships, and scaling its place inside the broadcast ecosystem.
That shift matters. AI companies in sports and entertainment are no longer being judged only on bold demos or technical ambition. The real test is whether their tools can fit into production environments, solve problems for media operators, and create measurable value without slowing down live workflows.
Why AI-powered sports broadcast technology is heating up
The timing is favorable for companies like Owl AI. Leagues, networks, streaming services, and production teams are all under pressure to make live sports feel more personalized and data-rich. Fans expect instant context, sharper analysis, and experiences that travel across TV, mobile, social platforms, and connected devices.
AI can help automate tagging, identify key moments, support highlight creation, enrich commentary, and make live feeds more adaptable. For broadcasters, that can mean faster turnaround and more content options. For advertisers and sponsors, it can mean smarter placement around the moments audiences care about most.
Of course, sports broadcasting is a high-stakes environment. Any AI tool entering that space must be accurate, fast, and unobtrusive. A live game gives technology very little room for error. That makes leadership, execution, and trust especially important.
What Jay Prasad’s CEO appointment signals for Owl AI
Prasad’s background in media technology and measurement could help Owl AI speak the language of both product teams and business buyers. His experience at companies tied to identity, advertising, and video analytics may prove useful as sports media companies search for ways to modernize broadcasts while also building stronger commercial models.
For now, Owl AI remains a startup to watch rather than a household name. But with live sports becoming a central battleground for networks and streaming platforms, the market for real-time broadcast intelligence is only getting more competitive.
Prasad’s appointment gives Owl AI a leader with experience in the business side of media transformation. The next question is how quickly the company can turn its live intelligence pitch into must-have technology for the sports broadcast industry.
Tags: #OwlAI #SportsTech #ArtificialIntelligence #BroadcastTech #StreamingTech
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