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AI and Data Driven Strategies

AI and Data Driven Strategies

Venue
Date
Training Course
£4,500.00
Choose your own preferred Date or Venue or Contact Us for more details

✅ Total Duration:

  • Regular: 5 Days × 4 Hours = 20 CPD Hours or
  • Intensive: 2.5 Days x 8 Hours = 20 CPD Hours
  • Delivery Format: In-person
  • Target Group: Mid to Senior level managers, team leads, HR professionals, project managers
  • Assessment: Active participation, group activities, capstone project
  • Certificate: CPD Certificate with learning outcomes and hours

Training Course on AI and Data Driven Strategies

Overview

  • This intensive five-day course equips participants with a comprehensive understanding of AI technologies and data-driven strategic approaches to transform business decision-making and innovation.
  • Participants will explore AI fundamentals, data analytics, strategic implementation, and ethical governance, gaining practical frameworks to lead AI initiatives that deliver measurable organisational value.
  • The course blends theory with real-world case studies, interactive workshops, and expert insights to prepare leaders and managers to harness AI responsibly and effectively.

Learning Objectives

  • Grasp core AI concepts including machine learning, generative AI, and large language models (LLMs) relevant to business strategy.
  • Understand data analytics techniques to extract actionable insights and support data-driven decision-making.
  • Develop skills to identify, prioritise, and implement AI use cases aligned with organisational goals.
  • Learn frameworks for AI governance, ethical considerations, and risk management.
  • Build capabilities to lead cross-functional AI teams and foster a culture of innovation.
  • Translate AI strategy into operational plans that integrate technology, people, and processes for sustainable impact.

Training Methodology

  • Interactive lectures combining foundational theory with cutting-edge AI developments and business applications.
  • Hands-on workshops using AI frameworks and tools to design data-driven strategies and AI use cases.
  • Case studies from diverse industries illustrating successful AI adoption and pitfalls.
  • Group discussions and role-playing to simulate decision-making and stakeholder engagement.
  • Guest sessions featuring AI practitioners sharing real-world experiences and lessons learned.
  • Continuous knowledge checks and reflection exercises to reinforce learning and application.

Organisational and Personal Impact

  • Organisations will benefit from enhanced strategic agility, improved decision quality, and accelerated innovation cycles through AI integration.
  • Participants will gain confidence to lead AI initiatives, communicate effectively with technical teams, and drive data-centric cultures.
  • The course fosters a mindset shift towards systems thinking, balancing human and machine collaboration for optimal outcomes.
  • Improved governance and ethical AI deployment reduce risks and build stakeholder trust.
  • Personal career growth through mastery of one of the most in-demand skill sets in the digital economy.

Target Audience

  • Senior business leaders and executives responsible for digital transformation and innovation strategy.
  • Functional managers and department heads seeking to leverage AI and data analytics in their domains.
  • Business analysts, consultants, and strategists aiming to deepen their AI knowledge for competitive advantage.
  • IT and data professionals transitioning into strategic roles involving AI deployment.
  • Entrepreneurs and product managers interested in integrating AI-driven insights into business models.

Course Outline

Day 1: Foundations of AI and Data-Driven Strategy

  • Introduction to AI: definitions, types, and business relevance
  • Overview of data analytics and its role in strategic decision-making
  • Understanding Large Language Models and Generative AI basics
  • Key terminology and AI ecosystem components

Day 2: Unlocking AI’s Full Potential in Business

  • Frameworks for identifying high-impact AI use cases
  • Data quality, sourcing, and preparation best practices
  • Introduction to AI tools and platforms for business applications
  • Workshop: Mapping AI opportunities in your organisation

Day 3: Designing and Implementing AI Strategies

  • Building AI solution portfolios aligned with strategic goals
  • AI system architecture and integration with existing processes
  • Managing AI projects: from ideation to deployment
  • Case studies: successful AI implementations and lessons learned

Day 4: Governance, Ethics, and Risk Management

  • AI governance frameworks and compliance essentials
  • Addressing ethical challenges: bias, transparency, and privacy
  • Risk assessment and mitigation strategies in AI projects
  • Interactive session: Developing an ethical AI policy

Day 5: Leading AI-Driven Transformation

  • Leading multidisciplinary AI teams and fostering innovation culture
  • Communicating AI value to stakeholders and managing change
  • Measuring AI impact and continuous improvement
  • Final workshop: Creating an actionable AI roadmap and implementation plan

Conclusion

  • AI and data-driven strategies are critical enablers of competitive advantage and organisational resilience in today’s digital landscape.
  • This course empowers participants to confidently lead AI initiatives that are strategically aligned, ethically sound, and operationally effective.
  • By integrating AI thoughtfully, organisations can unlock new value, enhance decision-making, and future-proof their business.
  • Participants leave equipped not only with knowledge but with practical tools and frameworks to drive AI success and inspire transformation.
  • Embrace the AI journey with a systems mindset—balancing technology, people, and processes—to shape the future of your organisation.

Courses Categories
Leadership and Management

Leadership and Management

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