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.
Start your Generative AI journey today
Accelerated your time to value with Generative AI. Get in touch today.
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.
Collaboration
Facilitate team collaboration and enhance media asset accessibility.
Cost effective
No upfront investment. Pay on a subscription or pay-as-you-go basis.
Innovative
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
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
30%
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
25%
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
20%
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
25%
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.
gminsights.com
Reduction in Customer Support Costs
40%
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
15%
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.
Models
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.
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
Proof-of-Value
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.