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How Vertical AI is set to transform fan & brand engagement in sports 

The $500 billion sports industry is on the verge of a technological revolution. The potential for AI in sports is vast, and the market is primed for disruption. The global sports technology market is projected to reach $40.2 billion by 2026, with AI and data analytics as key growth drivers.

LootMogul, an AI sports tech startup founded by serial entrepreneur Raj Rajkotia , believes that Artificial intelligence (AI), fueled by machine learning (ML) and deep learning (DL), will redefine fan engagement and unlock unprecedented revenue streams. Purpose-built, vertical AI solutions are emerging as the key to this transformation, offering tailored approaches that address the unique dynamics of the sports ecosystem, according to the company. 

LootMogul leverages Vertical AI to empower fans with intuitive tools that were previously inaccessible without technical expertise. Unlike general AI, Vertical AI dives deep into specific industries, understanding their unique nuances and complexities. This means AI models trained on vast amounts of sports data, from player stats and game footage to fan sentiment and historical trends. This hyper-focused approach allows LootMogul to deliver highly relevant and personalized experiences that resonate with fans on a deeper level.

Dr. Sarah Chen, a leading sports technology analyst, explains: “Vertical AI solutions in sports are game-changers. They’re not just generic AI applications retrofitted for sports; they’re built from the ground up to understand and enhance every aspect of the sports industry, from player performance to fan engagement.”

Founder, CEO & CTO of the startup Raj Rajkotia envisions a dynamic, interconnected sports ecosystem where AI empowers and generates new revenue for everyone. LootMogul has collaboration with over 400 athletes, teams, brands, fans, and partners, and 4 million monthly active users.

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