Applied AI Suite
Discover the Applied AI Suite: A comprehensive Machine Learning Operations (MLOps) solution, developed by Digital Catapult for the Innovate UK BridgeAI programme, to assess ML maturity, streamline AI/ML model deployment, and ensure optimal performance and scalability for organisations of all sizes.
About the suite
The Applied AI Suite is a set of MLOps offerings designed to empower organisations of all sizes to effectively gauge their machine learning (ML) maturity and seamlessly operationalise their AI/ML models. It provides a comprehensive solution for transitioning AI/ML models into production, ensuring optimal performance and scalability.
Key features of the suite
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GitHub repository
Access a set of open-source repositories with prebuilt, automated MLOps pipelines and resources to accelerate MLOps implementation. Included in the repository are guidance on ML coding best practices, reusable code snippets, and collaborative resources.
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Knowledge hub
Gain valuable insights into best practices for deploying, maintaining, and scaling AI/ML models while staying informed about the latest trends and advancements in the AI/ML ecosystem. Additionally, explore a comprehensive horizon scan of MLOps tools available in the market, equipping yourself with the knowledge to make informed decisions about tools and strategies that enhance the efficiency and effectiveness of AI/ML operations.
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MLOps maturity assessment
This assessment is part of our AI Adoption Toolkit and will enable you to leverage step-by-step guidance for assessing and improving AI adoption readiness as well as understand critical processes in AI/ML operationalisation to enhance performance.
What will you gain?
By adopting this suite, organisations will acquire the necessary knowledge and skills to optimise their AI/ML operational processes.
The suite facilitates:
- Seamless AI/ML deployment: streamline the transition from development to production.
- Informed decision making: leverage unbiased reviews of MLOps tools and gain strategic insights.
- Enhanced collaboration: access shared resources to foster innovation and teamwork.
- Scalability: ensure your AI/ML models are ready to grow with your organisational needs.
Three key benefits:
- Comprehensive resource access: tap into a collection of resources, including coding best practices, unbiased MLOps tool reviews, and detailed guidance for the MLOps journey.
- Improved efficiency: learn how to streamline processes, reduce errors, and save time.
- Confidence in AI adoption: build the skills and knowledge needed to navigate the complexities of AI/ML implementation.
Related programme
BridgeAI
Empowering UK organisations to harness the power of AI through support and funding, bridging the AI divide for a more productive UK.