Enhancing how sport
is experienced

Secure, flexible and cost-effective AI solutions by leveraging the latest AWS services

Explore sport specific content including case studies & insights.

Advanced AWS partner

3x AI & ML competencies

We have proven expertise in our AI services which are being leveraged to transform industries.

AI is transforming sports through data analytics, automation, and enhanced fan experiences. Computer vision and machine learning power advanced performance tracking, injury prediction, and strategic decision-making. AI-enabled chatbots deliver personalised content and real-time insights.

Featured case study

Premier League

Data analytics

Data visualisation

AI/ML

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Benefits

Understanding the sporting trends

With our deep understanding of the sports industry, we offer expertise in cloud technology and industry knowledge to guide sports organisations in modernising their businesses through AWS cloud services. Benefit from our experience and the latest cloud advancements from AWS to meet the dynamic demands of sports events, ticketing systems, and media distribution. Partner with Firemind for scalable and flexible infrastructure.

Fast growth

The global sports cloud market is projected to reach $4.56 billion by 2026. That’s 20% higher growth, YoY.

alliedmarketresearch.com

Cost savings

40% of sporting organisations noticed significant reductions in their infrastructure costs after migrating their operations to the cloud.

aws.com

Live stream

52% Year-on-year growth in 2022, highlighting the increasing popularity and demand for cloud services in the sports industry.

statistica.com

Live analytics

The NBA utilises cloud technology to deliver real-time statistics and advanced analytics to fans worldwide, with an estimated 28 million page views per month.

nba.com

Sports use cases by solution

Introduce AI to your business

Unlock the transformative power of AI/ML in sports with Firemind’s cloud solutions. Drive revenue growth, enhance customer experiences, and optimise operations. Leverage AI algorithms and machine learning in the cloud to gain insights, predict trends, and deliver personalised recommendations. Stay ahead, exceed expectations, and achieve success with scalable, cost-effective, and agile cloud solutions.

01

Real-time data analysis

Advanced stats – Gen Al is revolutionising the sports industry by providing advanced data analysis capabilities in the cloud. It can process vast amounts of data collected during sports events and provide realtime insights to coaches, players, and fans

02

Predictive analysis

Player performance –With Gen Al in the cloud, sports organisations can track and analyse realtime player performance, including vital statistics, bio data, and psychological factors. Predictive models are created to assess player performance, injury risks, and potential match outcomes

03

Fan engagement

Personalised – Cloud-based Gen Al allows sports organisations to offer personalised fan experiences. Al algorithms analyse individual preferences, behaviour, and social media activity to deliver targeted content, including customised highlight reels, exclusive interviews, and interactive games.

04

Virtual reality

Augmentation – Cloud-based GenAl powers VR and ARapplications in the sports industry. Fans can enjoy immersive and interactive viewing experiences of live sports events from home through VR. AR overlays real-time statistics, player profiles, and virtual enhancements on live broadcasts.

05

Injury prevention

Rehabilitation help –Al algorithms analyse wearable and sensor data to monitor player health, identify injury risks, and suggest preventive measures. They also use data on previous injuries, recovery rates, and player-specific factors to create personalised rehabilitation programs, aiding in injury recovery.

06

Content generation

Automated highlights – Al algorithms analyse sports video footage to instantly generate highlights and summaries. Key moments, goals, and exciting plays are identified for quick sharing on social media, speeding up content production and enhancing event reach and engagement.

07

Next-gen scouting

Talent identification – By analysing player data, including performance stats, physical attributes, and social media presence, Al algorithms can identify promising talents and recommend potential recruits. This streamlines scouting and helps teams discover new talent efficiently.

Implement AI into your industry workflow

Explore & define

AI roadmap:
Exploration, applications & goal setting

We’ll explore AI’s applications and benefits through research, workshops, and team engagement. This will identify how AI can enhance customer experience, inventory management, demand forecasting, pricing optimisation, and fraud detection. We’ll then set clear goals, create a roadmap, and identify specific use cases for integrating AI in your retail operations.

Assess & develop

Data preparation:
Evaluation & model development

We’ll evaluate data sources, plan infrastructure, and aggregate diverse data. Then, we’ll develop AI models through machine learning, including algorithm selection, feature engineering, training, and validation. Models will be deployed, integrated, and tested for accuracy and performance.

Refine & scale

AI expansion:
Monitoring, retraining
& scaling

AI implementation is iterative, involving continuous monitoring, feedback collection, and refinements. Retraining models with more data enhances accuracy and adaptability. After successful initial deployment, expand AI across departments with chatbots for customer support, computer vision for visual product search, and AI-driven recommendation engines.

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Seen a specific case study or insight and want to learn more? Or thinking about your next project? Drop us a message!

Enhancing how sport is experienced