AI and strategic vision: building a successful transformation for the company of tomorrow

Objectives

  • Understand the strategic challenges of AI for a company
  • Identify the opportunities and risks associated with AI integration
  • Explore concrete use cases to inspire strategic initiatives
  • Develop a clear vision of the necessary steps for a successful AI adoption

Introduction and objectives

  • Roundtable discussion and participant Expectations
  • Presentation of the training objectives
  • AI in business transformation

Strategic overview of AI

  • The basics of artificial intelligence: key concepts and trends
  • Major AI-driven transformations in the global economy
  • Strategic opportunities for companies

Case studies: successes and failures of AI integration in leading companies

Identify opportunities and define a strategic vision

  • Strategic diagnosis
  • Identify internal processes and business operations where AI can create value
  • Understand customer and stakeholder expectations.
  • Study of an inspiring use case (ex: intelligent automation in industry)

Brainstorming: identify IA potential use cases in your organization

Key steps toward AI integration into the business strategy

  • Technical and organizational prerequisites
  • Building an AI strategic roadmap:
    • Define measurable objectives
    • Identify necessary resources (skills, data, tools)
    • Collaborate with technology partners
  • Good practices and common pitfalls to avoid

Case study: Successful Implementation of an AI Project in an SME or a Large Company

Ethical and organizational challenges ensued by AI

  • Impact on employees and the evolution of skills
  • Addressing algorithmic bias and data protection
  • Adopting an ethical and responsible approach
  • Overview of current and future regulatory frameworks

Review of the day & summary

  • Recap of key takeaways from the day.
  • Next steps for participants: personal action plan.
  • Question and answer session.
  • Training evaluation.

None. If the training is delivered remotely, a computer equipped with a webcam, microphone, speakers and Internet connection is required.

Strategic decision-makers, executives and senior managers in the industrial sector.

AI & Data Engineer

Presentations (projected and printed), practical case studies, video materials, etc.

Pre- and post-course assessments, quizzes, etc.

5 working days before the course start date (if financed by OPCO)

A training certificate complying with the provisions of Article L. 6353-1 paragraph 2 is issued to the trainee.

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