Generative Artificial Intelligence (AI) in Sports – Case Study

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Generative Artificial Intelligence (AI) in Sports Thematic Overview

Generative AI is one of the most advanced AI technologies. It uses machine learning algorithms to create content, including text, images, audio, video, speech, design, and software code. It is likely to pose a threat to every business across every sector in the coming years. The impact will expand across sectors and business functions as generative AI becomes more accurate and can provide reliable factual advice.

Generative Artificial Intelligence (AI)

Generative Artificial Intelligence (AI)

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The Generative Artificial Intelligence in Sports thematic intelligence report provides a sector overview of the use of AI, an understanding of the Generative AI landscape, and a look at some of the use cases and challenges that Generative AI in the sports industry.

Report Pages 71
Regions Covered Global
Value Chain ·        Hardware

·        Data Management

·        Foundation AI

·        Advanced AI Capabilities

·        Delivery

Key Companies ·        Alibaba

·        AWS

·        Baidu

·        IBM

·        Google

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Full AI - Value Chain Analysis

The AI value chain consists of hardware, data management, foundation AI, advanced AI capabilities, and delivery.  Generative AI (or creation) falls within the advanced AI capabilities category. Other subsegments under the advanced AI capabilities value chain are human-AI interaction, decision-making, motion, and sentience.

Full Artificial Intelligence Value Chain Analysis

Full Artificial Intelligence Value Chain Analysis

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Generative Artificial Intelligence (AI) in Sports – Business Impact

The key Generative AI use cases in sports are sports commentary, fan engagement, sponsorship activation, and betting analytics.

Betting Analytics: With the legalization of gambling and sports betting across numerous states across the US, generative AI’s ability to analyze data could have a significant impact on the betting industry. Betting companies could also utilize the same data to change odds in real-time.

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Generative AI in Sports – Competitive Landscape

The key vendors focusing on Generative AI theme are Alibaba, AWS, Baidu, IBM, and Google among others. For instance, AWS entered the generative AI space only recently through its AWS cloud service Bedrock (in limited preview) and LLM Titan, along with an auto coding tool CodeWhisperer (previewed last September). Furthermore, Google is targeting a broad array of enterprises following a recent rollout of AI-enabled tools and capabilities, making its new generative AI model available to customers for the first time.

Major Players in Generative AI Theme

Major Players in Generative AI Theme

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Scope

The report provides a sector overview for the use of AI, understanding the Generative AI landscape, and looking at some of the use cases and challenges that Generative AI in the sports industry.

Key Highlights

  • Sports AI use focuses on machine learning and computer vision.
  • A killer use case for generative AI in sports has not been found but potential applications are already being implemented within sports broadcasting.

Reasons to Buy

This report will help readers understand the AI landscape, and help leaders understand the potential of the technology. Providing a detailed understanding of how the technology works, its limitations, and potential use cases makes this a crucial report for anyone in the sports industry looking at harnessing the power of AI.

Boomy
Ecrett Music
OpenAI
Shutterstock
DeepAI
Nightcafe
OpenAI
Stability AI
Alphabet
IBM
Meta

Table of Contents

Executive summary

Generative AI overview

Business impact

Vendor landscape

Polls & signals

Risks, limitations, and other considerations

Appendix 1: Generative AI tech briefing

Appendix 2: Our Thematic Research Methodology

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