In an increasingly competitive world of sports, key stakeholders are incorporating machine learning, computer vision, and AI in sports journalism. The multifaceted and multibillion-dollar sports industry is witnessing the rising integration of AI in sports broadcasting as well. Artificial intelligence is gradually taking over every aspect of the sports industry. Plethora of technology startups across the world is creating AI-powered solutions for news and content agencies. Soon, AI will be an integral part of the competition management of all the leading sports and news agencies of the world.
AI for Improving Fan Experience
The Increasing reliance of broadcasters and organizers on AI for providing a superior viewing experience restates its importance. Therefore, artificial intelligence is quickly picking up pace in fan relationship management. Everything from venues and events to ticketing, AI is revolutionizing the fan experience. For instance, smart ticketing technology using AI offers variable seating options with business associates, friends, or family during a match. Another important application of AI in sports media is the creation of automated highlights tailored according to the lengths and forms preferred by viewers.
Similarly, venues play an important role in fan experience as well. AI-powered logistics such as merchandising, quality food, and better parking facilities are necessary for both fans and participants. Because of AI, merchandising will no longer be restricted to an ongoing trend, Instead, it will rely on reactions, emotions, and preferences of fans.
Integration of AI in Sports Journalism
Artificial intelligence is already being leveraged by many media organizations for creating automated news and content. Sports broadcasting utilizes AI for compiling key highlights of the match. In the future, advancements in machine learning will help develop extensive reports as well. Today, many AI and data science companies such as Yseop, United Robots, Narrative Science, and Automated Insights offer algorithms to media giants. Leading news providers such as Los Angeles Times, ProPublica, Forbes, and Associated Press have adopted this technology.
AI in media can reduce the considerable amount of time required for manually compiling these highlights and developing stories and short summaries. Moreover, the use of AI by Twitter and Facebook in the battle against fake news will continue to gain traction.
AI-powered Fan Relationship Management
Sports is a highly lucrative industry and thus attracts huge investments through sponsorships and media rights. The loyalty of fans for their teams is being rewarded by integrating technology such as voice technology and chatbots. Media companies are using apps and websites to disseminate information about important sports events to fans. Moreover, loyalty programs are being offered by media giants for enhancing fan engagement.
AI in Media and Entertainment
The use of artificial intelligence in media has expanded well beyond the realms of television into the world of social media. Sports teams are improving their online presence by creating and promoting well-curated content for Instagram, Facebook, Twitter, and Reddit. Social media is turning out to be the best way to remain connected with the fans. The aforementioned platforms even stream livestream highlights after the match to help fans catch-up on the important events.
Social media is also a great place to hold AMAs and polls after the match, a great way of engaging with the fans directly. Some of the sports content published on social media is not even accessible for television viewers. The combination of virtual reality and AI will further pave the way for technology in sports media.
The role of AI in sports media and fan experience offers a competitive advantage for both teams and players. As technology becomes more affordable, AI will no longer be considered a novelty value. It is expected to transform into a standard fixture in the near future.