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AI-Powered Sports Performance Analytics Platform Development
  1. case
  2. AI-Powered Sports Performance Analytics Platform Development

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AI-Powered Sports Performance Analytics Platform Development

alltegrio.com
Sports
Information technology

Challenge

Global Sports Insights Inc. faces the challenge of efficiently processing and analyzing massive volumes of diverse sports data (American football, tennis, eSoccer, ice hockey) to provide actionable insights to their clients. They need a scalable and cost-effective solution to automate data annotation, event tracking, and analytics delivery, while maintaining high accuracy and timeliness. Current manual processes are time-consuming, expensive, and limit their ability to offer real-time insights.

About the Client

A global provider of advanced sports analytics solutions, specializing in data-driven insights for team strategy, player performance, and recruitment.

Goals

  • Develop a scalable AI-powered platform for automated data annotation and event tracking across multiple sports.
  • Reduce data processing time post-game to within 10 minutes.
  • Improve the accuracy and reliability of sports analytics.
  • Enhance the platform's ability to support strategic insights for team strategy and player recruitment.
  • Optimize operational costs by leveraging automation and efficient workflows.

Functionality

  • Multi-Sport Data Annotation: Support for American football, tennis, eSoccer, and ice hockey.
  • Automated Event Tracking: Ability to automatically identify and track over 40 different player events.
  • Real-Time Analytics Dashboard: Generate and display analytics within 10 minutes of game completion.
  • Data Quality Assurance: Implement quality control mechanisms to ensure data accuracy and consistency.
  • Scalable Data Processing: Handle large volumes of game footage and data efficiently.

Technology Stack

AWS (Amazon Web Services)
PyTorch
TensorFlow
Custom-built annotation platform

Integrations

  • Data storage solutions (e.g., Amazon S3)
  • Existing client data systems (to ingest data)
  • Potential integration with sports data providers

Non-Functional Requirements

  • Scalability: Ability to handle increasing data volumes and user traffic.
  • Performance: Low latency for data processing and analytics generation.
  • Security: Data protection and access control mechanisms.
  • High Availability: Ensuring continuous operation and minimal downtime.

Expected Business Impact

This project is expected to significantly enhance Global Sports Insights Inc.'s competitive advantage by offering faster, more accurate, and more cost-effective sports analytics solutions. The improved efficiency will lead to reduced operational costs, increased customer satisfaction, and the ability to expand into new sports and markets. The timely insights will empower clients to make data-driven decisions regarding team strategy, player recruitment, and performance optimization.

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