The Future of Business and the World: Industry X.0
Corporate Training Courses Company

The Future of Business and the World: Industry X.0

Course schedule

Classroom Training:
DateVenueDurationPrice
25 - 29 May 2026London5 days£4,995
10 - 14 Aug 2026London5 days£4,995
26 - 30 Oct 2026London5 days£4,995
25 - 29 May 2026Paris5 days£4,995
22 - 26 Jun 2026New York5 days£4,995
20 - 24 Jul 2026Singapore5 days£4,995
17 - 21 Aug 2026Barcelona5 days£4,995
21 - 25 Sep 2026Paris5 days£4,995
19 - 23 Oct 2026New York5 days£4,995

Please note: prices shown above are exclusive of VAT (20%).

If you don’t see your preferred course date, please contact us.
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Course Overview

This course examines how the Fourth Industrial Revolution reshapes industries, workforces, and economies. Delegates explore automation, artificial intelligence, and sustainability as drivers of transformation. Participants learn to assess technological disruption and design adaptive strategies. The programme equips professionals to future-proof their organisations and lead confidently in an era of accelerated innovation and interconnected systems.

Who Should Attend

Executives and managers leading Industry 4.0 initiatives through automation, IoT, and advanced analytics. Past delegates have included:

  • Operations Directors
  • Digital Transformation Managers
  • Innovation Officers
  • Production Engineers
  • Technology Strategists

Course Outcomes

  • Explore the integration of AI, IoT, and robotics in next-generation industries.
  • Analyse how digital ecosystems reshape operations, supply chains, and value creation.
  • Develop strategies for leading digital transformation across industries.
  • Assess the economic and societal impacts of Industry X.0 technologies.
  • Foster innovation and sustainability in future-ready business models.

Course Topics

Smart Manufacturing and IoT Integration

  • Integrate IoT systems into production networks for efficiency gains.
  • Develop smart manufacturing strategies using connected technologies.
  • Leverage predictive analytics for proactive maintenance and optimisation.
  • Assess cybersecurity and interoperability challenges in industrial IoT environments.

AI, Automation and Future Workflows

  • Explore the impact of automation and AI on operational efficiency.
  • Design intelligent workflows that enhance workforce productivity.
  • Identify roles and skills required for future-ready industries.
  • Manage the human–machine interface through ethical and strategic frameworks.

Digital Transformation Frameworks

  • Understand frameworks guiding enterprise-level digital transformation.
  • Identify critical success factors for technology-driven change.
  • Develop a roadmap for adopting emerging technologies at scale.
  • Assess the impact of transformation on business performance and culture.

Data-Driven Decision-Making

  • Apply analytics to inform strategic and operational decisions.
  • Integrate data insights into product, marketing, and service design.
  • Develop KPIs and dashboards to track digital transformation success.
  • Foster a data-driven culture across all organisational levels.

Innovation and Change Management

  • Apply change management principles to digital transformation projects.
  • Promote innovation through experimentation and cross-functional teamwork.
  • Align organisational structure and leadership with innovation objectives.
  • Evaluate transformation outcomes through performance metrics and feedback.

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