Firemind in Media & Entertainment

Unlock the future of media in the cloud


Facilitate team collaboration and enhance media asset accessibility.

Cost effective

No upfront investment. Pay on a subscription or pay-as-you-go basis.


Experiment with GenAI and innovative technologies without upfront investment.

AWS Machine Learning Competency Partner

As an AWS Competency Partner in Machine Learning, we are proud to offer specialised ML expertise and solutions that help businesses thrive in the digital age.

Stay at the forefront of industry trends and leverage the latest advancements in AWS cloud technology

Whether you’re aiming to revolutionise your media and entertainment operations or construct scalable, robust, and cost-effective infrastructures, Firemind is the ideal partner for you. With our extensive experience in working with AWS and the media and entertainment industry, we possess comprehensive knowledge and expertise in implementing cloud solutions that are designed to withstand the test of time.

Case Study

The next generation data platform for Premier League

“We have received outstanding service from Firemind. The knowledge base appears to be of a very high standard and the customer support has been quick, fluid and extremely personable. I would have no hesitation in recommending Firemind to any other company.”

Steve Palmer

Head of Data Solutions

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Understanding the media & entertainment industry trends

AWS cloud technology is transforming the media and entertainment industry by revolutionising content creation, delivery, and consumption. With its scalable infrastructure, flexible storage solutions, and advanced analytics capabilities, AWS enables media companies to efficiently process, store, and manage massive amounts of data and media assets.

By working alongside Firemind, you can benefit from our years of experience, combined with the latest advancements in cloud technology via AWS.

Media storage

$17 trillion

The projected global spend of media and entertainment storage use within the cloud by 2027.

Content distribution


The projected revenue distribution is set to see content distribution hit close to 40% by 2026. With post production, content acquisition and archiving following up.

Live streaming


The weekly reach of live streaming videos worldwide is quickly accelerating, as more and more physical events begin to embrace virtual tickets instead.

3D rendering


The 3D rendering market size surpassed $3 billion in 2022. It is projected to expand by more than 20% by 2032, driven by the soaring demand for 3D modelling.

Screen time

100 minutes

High quality video storage and retrieval is on the rise, as an average person is predicted to be watching around 100 minutes of video each and every day.

Advertiser growth


Year on year growth will continue to scale, as advertisers look for more new and innovative placements within subscription video services.

Introduce AI to your business

Unlock the transformative power of AI/ML in media 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.

Media & entertainment use cases by solution area

Accelerate your media and entertainment ML project with our MLOps Platform

With a well-architected and scalable deployment, our framework utilises AWS cloud native services to ensure you only pay for what you use, with a solution that scales with you as you grow.

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Implement AI into your media and entertainment 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.

Get in touch

Ready to begin your next cloud project?

As an AWS all-in consultancy, we’re ready to help you innovate, cut costs and scale, at a rapid pace.

To find out more, provide your details to the right, and a member of our team will be in contact with you.