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AI Use Cases

A collection of over 250 uses for artificial intelligence

A continually updated list exploring how different types of AI are used across various industries and AI disciplines,including generative AI use cases, banking AI use cases, AI use cases in healthcare, AI use cases in government, AI use cases in insurance, and more

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Fan engagement and experience

Introduction

The sports industry has always been very much a part of technological advancements and the integration of Artificial Intelligence (AI) and Machine Learning (ML) is no exception. These technologies have paved way for the enhancement of the fan experience in the sports by making it more personalized, engaging and interactive. From providing the viewers with high-tech services like, predictive analytics, to virtual reality and chatbots, AI and ML are creating more and more points of interaction between the fans and the sport. The main goal of implementing these technologies is to improve fans’ engagement, boost ticket sales and merchandise sales and provide fans with an excellent experience.

Challenges

There are, however, some challenges that can hinder the effective integration of AI and ML in the sports industry. The first challenge is that of data security and privacy since there is the increasing use of AI and ML. There is a growing concern on the protection of data as more and more data is collected and analyzed with the help of AI and ML. Another problem is the opposition to change. Traditionally minded sports fans are reluctant to embrace the change from conventional means of participation to digital ones. Other barriers include costing and infrastructure since the integration of the AI and ML technologies is costly and needs a strong infrastructure which may not be affordable to all the sports organizations. Finally, there is the problem of accuracy. In order for the AI and ML to be useful they must be very precise in predicting results, providing content that is of interest to the user and improving the user experience.

AI Solutions

There are various AI solutions that are being implemented in order to address these challenges and improve fan engagement. For example, predictive analytics which is based on ML is used in assessing the game results, athletes’ performances, and even the fans’ behavior for the purpose of targeted marketing. Live events are enhanced with the help of AI, for example, chatbots that are utilized for push notifications, providing updates, and even buying tickets. VR, which is enhanced by AI, is offering a real-life like experience to the fans who are not able to attend the games live. It is used in content generation where the content is delivered to the fans in a personalized manner depending on their interests and activities. Some of the companies include IBM Watson, SAP, and Salesforce which are providing AI solutions that have been embraced by sports organizations across the globe.

Benefits

There are a number of ways in which AI and ML can be leveraged in the sports industry and the following are some of the advantages that come with it. It also improves fan experience through personalization, prediction, and interaction. It enhances the ticket sales and merchandise purchase through the use of targeted marketing and recommendations. It also assist in the acquisition and interpretation of fan’s data that can be applied to plan and enhance events and interactions with the fans. Also, it decreases the costs of operations by performing repetitive functions and increasing productivity. There are also new revenue sources that come with the integration of AI and ML technologies in sports organizations; such as, partnership with tech companies, selling of fan data (while ensuring that data privacy is adhered to) and providing premium services to fans through AI.

Return on Investment

There are significant returns on investment when AI and ML technologies are leveraged in the sports sector. Although, the initial investment for the development of these technologies is quite costly, the future returns such as enhanced fan involvement, increased ticket sales, enhanced fan relations, and creation of new revenue sources make it a profitable investment. A report by PwC has revealed that the sports market in North America will grow at a Compound Annual Growth Rate (CAGR) of 3.2% from 2018 to 2022 and many of the innovations that are expected to drive this growth are based on artificial intelligence and machine learning.

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