Support for all stages on your AI journey

Opportunities and resources

• Strategy

  Overview

  Opportunities and resources

  Is AI right for you? Before jumping into AI, it’s essential to have a clear plan. This phase helps you decide if AI is the right solution for your business and outlines how to set clear objectives and strategies.

  Key considerations:

  • Setting clear goals: What do you hope to achieve with AI?
  • Evaluating feasibility: Assess the costs, benefits, and potential impact.
  • Identifying needs: Consider the skills, resources, and cultural factors that may influence AI adoption.

  • Demystifying the EU AI Act – Implications for UK businesses – VIEW RECORDING
  • AI governance: Key UK government initiatives and future direction – VIEW RECORDING
  • AI Standards for SMEs – VIEW RECORDING
  • BridgeAI: Innovation Vouchers – STFC Hartree Centre – GET INVOLVED
  • Exploring AI’s impact on construction: Insights from FutureBuild 2024 – VIEW RECORDING
  • The road to innovation: 4 key opportunities for AI in transport – READ THE REPORT
  • Navigating a nebulous AI governance landscape – EXPLORE THIS PERSPECTIVE
  • New guides on global AI policies published – EXPLORE THE GUIDES
  • Navigating the path to responsible and trustworthy AI – READ THE REPORT

• Data

  Overview

  Opportunities and resources

  Collecting and preparing the right data is crucial for developing effective AI solutions. This phase covers everything from data quality to privacy concerns.

  Key considerations:

  • Data collection: Ensure access to high-quality, relevant data.
  • Interoperability and exchange: Make data easily shareable while keeping it secure.
  • Data processing: Prepare and protect your data for AI use.

  • Bespoke AI and Data Science Advice for SMEs – GET INVOLVED
  • Live course: Assessing and mitigating bias and discrimination in AI – GET INVOLVED
  • The Turing Way Handbook – EXPLORE THE HANDBOOK
  • eLearning course: Introduction to Transparent Machine Learning – GET INVOLVED

• Build

  Overview

  Opportunities and resources

  Trustworthy AI models are essential for sustainable AI adoption. This phase is all about building and testing AI models that are safe, fair, and reliable.

  Key considerations:

  • Model development: Choose the right algorithms and methods.
  • Managing bias: Ensure fairness and reduce biases in your models.
  • Transparency: Make your AI models understandable and explainable.

  • High Performance Computing (HPC) Innovation Voucher – GET INVOLVED
  • BridgeAI: Turing Commons | The Alan Turing Institute- EXPLORE THE TURING COMMONS

• Implement

  Overview

  Opportunities and resources

  Do you know how to deploy and maintain AI? This phase helps you integrate your AI models into real-world business settings and keep them running smoothly.

  Key considerations:

  • Model deployment: Successfully integrate AI models into your operations.
  • Model maintenance: Regularly update and refine models for optimal performance.
  • Scaling up: Expand your AI capabilities to tackle bigger challenges.

  • BridgeAI: Discover Digital Transformation Training – FIND OUT MORE
  • AI Skills for Business Competency Framework & Resources – GET INVOLVED
  • AI Standards Hub – JOIN THE COMMUNITY
  • Turing Way Practitioners Hub – become an Expert in Residence – FIND OUT MORE
  • BridgeAI Standards Community – JOIN THE COMMUNITY
  • eLearning course: Operationalising Ethics in AI – VIEW THE COURSE

• Cross-framework support

  Overview

  Opportunities and resources

  No matter where you are in the AI journey, certain challenges are universal. These resources help ensure your AI efforts are ethical, transparent, and risk-managed.

  Key considerations:

  • Ethics and trustworthiness: Adhere to ethical standards and regulations.
  • Risk management: Implement best practices to mitigate risks.
  • Skilled team: Build and train a team equipped to handle AI technologies.

  • BridgeAI: Introduction to the AI Standards Hub – VIEW DETAILS
  • Access to Hartree Centre Training Portal – GET INVOLVED
  • Building an Ethical AI Future: Insights from Ignite Labs x BridgeAI – LEARN MORE