Firemind in Media & Entertainment

Unlock the future of media in the cloud

Generative AI has the potential to automate 60-70% of employees work activities.

Generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across 63 use cases analysed.

Work automation could add 0.5-3.4% points annually to productivity growth.

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.


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.

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.

Efficiency Improvement in Content Distribution


By leveraging GenAI for optimising content distribution strategies, media companies have reported efficiency improvements of up to 30%, resulting in a significant increase in reach and engagement.

Industry Reports on Content Distribution Efficiency

Cost Reduction in Content Creation


Through the automation of content creation processes using GenAI-powered tools, media companies have seen a reduction in production costs by as much as 25%, allowing them to allocate resources more efficiently and invest in higher-quality content.

McKinsey & Company Report on AI Automation in Content Production

Increase in Revenue from Personalised Recommendations


Media platforms implementing GenAI for personalised content recommendations have experienced a revenue uplift of approximately 20% due to increased viewer engagement and longer session durations.

Forrester Report on Personalization in Media Consumption

Enhanced Advertising Effectiveness


By utilising predictive analytics provided by GenAI to optimise advertising campaigns, media companies have achieved a 15% increase in ad click-through rates and a 25% improvement in return on investment (ROI) for advertisers.

Reduction in Customer Support Costs


Media companies implementing GenAI-powered chatbots for customer support have reported a decrease in support costs by up to 40% due to automation and reduced reliance on human agents.

"The State of AI in Customer Service" by Salesforce Research

Increase in Viewer Retention


Platforms using GenAI for personalised content recommendations have observed a 15% increase in viewer retention rates, leading to higher subscriber satisfaction and reduced churn.

"The Power of Personalization in Video Content" by Deloitte

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

What is Generative AI?

Generative AI is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. It is powered by large models that are pre-trained on vast amounts of data and commonly referred to as foundation models (FMs).

With Generative AI, you can reinvent your applications, create entirely new customer experiences, drive unprecedented levels of productivity, and transform your business.


Foundational Models (FM)

Like all AI, generative AI is powered by ML models, very large models that are pre-trained on vast amounts of data and commonly referred to as foundational models (FMs). Recent advancements in ML have led to the rise of models that contain billions of parameters or variables.

Large Language Model (LLM)

A large language model (LLM) is a type of foundational model that is designed to process and generate natural language text. It is trained on vast amounts of text data using Deep Learning techniques, to learn patterns and relationships in language and generate human-like responses to a wide variety of prompts.

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.

Rapid 6-8 Week Generative AI

Week 1

Discovery & PoV roadmap

Identify relevant data sources and assess infrastructure requirements. Evaluate AI use cases based on business value, success criteria, and implementation complexity.Create plan for the deployment, including tasks, timelines, and milestones.

Week 2-6

Build & deploy

Deploy and configure the PoV in the customer’s AWS development environment. Complete architecture, documentation, & replication instructions.

Week 6-8

Demo & production roadmap

Full walkthrough of PoV. Plan to scale solution for production and refine TCO estimate. Evaluate success and provide recommendations based on solution results.

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.

Generative AI journey

Accelerate your time to value with Generative AI today