Industry Primer for Industrials: Technology, Innovation, and AI

Industry Primer for Industrials: Technology, Innovation, and AI

1h 32mBeginner2026-07-31

Authors

Starweaver

Starweaver

Course details

In this course, explore the industrials sector: from manufacturers and service providers to aerospace, defense, construction, engineering, and industrial equipment. Discover how technology is reshaping the sector, including digital transformation, advanced analytics, and emerging innovation models. Examine technology challenges such as legacy integration risks, security concerns, and ITOT integration, along with the opportunities that AI, digital twins, and predictive maintenance present. Along the way, learn how to identify consulting opportunities in areas like technology modernization, data strategy, and operational intelligence. Designed for consultants, strategists, and other professionals, this course builds the technology fluency you need to drive efficiency and innovation across industrial engagements.

Learning objectives
Describe the technology landscape and digital transformation trends shaping the industrials sector.
Explain how AI and advanced analytics support decision-making and operational efficiency.
Identify technology challenges, including legacy integration risks, security concerns, and ITOT integration.
Evaluate emerging innovation models and technologies such as digital twins and predictive maintenance.
Recognize consulting opportunities in technology modernization, data strategy, and operational intelligence.

Concepts

Introduction

  • Getting started

Technology Landscape Overview

  • Core systems and the industry tech stack
  • Infrastructure and security considerations
  • Emerging technology trends and adoption patterns

Digital Transformation Trends

  • Cloud, automation, and the role of data
  • Transformation challenges and customer experience

AI and Advanced Analytics in the Industry

  • Decision intelligence and AI maturity
  • AI use cases and associated risks

Innovation and Emerging Technologies

  • Emerging technologies and innovation models
  • Platform shifts and ecosystem change

Technology Challenges and Risks

  • Legacy constraints and data quality
  • Security, compliance, and change management

Consulting Opportunities in Tech and AI

  • AI strategy and technology modernization
  • Data strategy and automation initiatives

Conclusion

  • Course wrap-up
40,000 Toman