

Dr. Masoumeh Izadi, Managing DirectorThe utilization of AI and Machine Learning (ML) in broadcasting and streaming of live sport can substantially boost audience engagement by helping viewers understand player behaviours, match strategies and also predictions of the outcomes of events within matches.
Television Content Analytics (TVConal) is a deep tech startup headquartered in Singapore, has developed the latent power of AI, ML, and big data analytics in sports and entertainment and has engineered solutions that help clients deliver more engaging content and connect better with their audiences.
“We have observed that many sporting organizations lack the expertise required to comprehensively collect and analyze data. TVConal equips these firms with the technology to capture this data and extract value from it, which can help stakeholders, broadcasters, and viewers,” says Dr Masoumeh Izadi, managing director at TVConal. The organization primarily provides predictive analytics and video analytics solutions— powered by AI and its subdomains—that can meet specific industry needs and deliver content-relevant analyses which can boost audience engagement and, in turn, revenue growth for broadcasters. The predictive analytics solution gauges patterns in player performances and matches occurrences to measure the outcome of games.
TVConal’s flagship product Forecast provides ball-by-ball live match scores and win predictions based on team squads, venue stats, in-game developments, and historical statistics pertaining to previous matches in similar conditions. These stats engage the audience during live broadcasts and improve viewer experience with sports content such as live reports of matches on websites and other digital properties which can significantly increase the viewership. Conversely, TVConal’s video analytics solution follows video visual cues frame by frame and automatically comprehends what it captures. This technology has been created with the help of powerful data visualization technology and several machine learning, deep learning, and computer vision models that TVConal has custom-built to suit the multiple needs of clients. With several such solutions, the organization develops data-driven prognostics using pattern recognition and machine learning to detect the most exciting and engaging content in a sports match.
Driven by a passion for solving the most challenging aspects in viewer engagement, TVConal’s team of experts in AI, ML, computer vision, and sports use AI best practices to revamp how content is captured and consumed by viewers. The team obtains non-intuitive insights from the massive volume of statistics and raw information generated through cutting-edge sports technologies ranging from ball and player tracking to wearable sensors in players’ shoes and helmets.
With models and technologies that track moving objects in sports and players, TVConal captures millions of data points, which it then translates into tangible data that can be used for content enhancement. While this data helps viewers perceive and understand the content they would otherwise overlook, it also helps sports analysts and broadcasters craft a more engaging and compelling story of the match. TVconal’s technologies further helps educate sporting organizations about the latest technological innovations and how they can foster a cultural shift among viewers, athletes, coaches, and even media enterprises.
In upcoming months, TVConal will be focused on delivering a unified knowledge base in association with its partnering federations such that every sports organization can equip themselves with new-age technologies for performance improvement, better sport participation, more efficiency in player drafting for leagues and tournaments, and effective monetization of their assets. Considering the positive impact of TVConal’s AI technology in sport to date, there is no doubt that it will continue to flourish and develop in the future.
Driven by a passion for solving the most challenging aspects in viewer engagement, TVConal’s team of experts in AI, ML, computer vision, and sports use AI best practices to revamp how content is captured and consumed by viewers. The team obtains non-intuitive insights from the massive volume of statistics and raw information generated through cutting-edge sports technologies ranging from ball and player tracking to wearable sensors in players’ shoes and helmets.
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TVConal equips firms with the technology to capture data and extract value from it, which can help stakeholders, broadcasters, and viewers
With models and technologies that track moving objects in sports and players, TVConal captures millions of data points, which it then translates into tangible data that can be used for content enhancement. While this data helps viewers perceive and understand the content they would otherwise overlook, it also helps sports analysts and broadcasters craft a more engaging and compelling story of the match. TVconal’s technologies further helps educate sporting organizations about the latest technological innovations and how they can foster a cultural shift among viewers, athletes, coaches, and even media enterprises.
In upcoming months, TVConal will be focused on delivering a unified knowledge base in association with its partnering federations such that every sports organization can equip themselves with new-age technologies for performance improvement, better sport participation, more efficiency in player drafting for leagues and tournaments, and effective monetization of their assets. Considering the positive impact of TVConal’s AI technology in sport to date, there is no doubt that it will continue to flourish and develop in the future.
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Company
Television Content Analytics
Management
Dr. Masoumeh Izadi, Managing Director
Description
Television Content Analytics (TVConal) is a technology startup with the main line of business in using analytics to support content creation in TV broadcasting. TVConal supplies the technological resources and solutions that enables broadcasters, media, and entertainment companies to deliver more engaging content and better identify and seize new opportunities.