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Coursera

Digital Transformation and AI for Business

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Overview

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Based on the best-selling book, Rewired, by Eric Lamarre, Kate Smaje, and Rodney Zemmel. In a world where digital transformation defines success, this course empowers leaders to harness the full potential of digital and AI technologies. It reveals how top organizations are outcompeting their rivals by aligning strategy, technology, and talent for accelerated growth. Through a structured learning journey, learners will gain practical tools to lead digital change, optimize operations, and drive innovation at scale. Each module connects theory with actionable frameworks that can be applied directly in professional contexts. What makes this course distinctive is its real-world foundation—developed by McKinsey & Company, it blends rigorous research with case studies from successful digital transformations. Participants will not only understand the “why” but also master the “how” of competing in the digital age. This course is ideal for executives, managers, and business leaders involved in digital strategy or transformation. A foundational understanding of business operations and digital technologies will help learners fully benefit from the material. From Rewired Copyright © 2023 by McKinsey & Company. All rights reserved. Published by John Wiley & Sons, Inc.. Used by arrangement with John Wiley & Sons, Inc..

Syllabus

  • Creating the Transformation Roadmap
    • In this section, we will discover how to design a transformation roadmap through leadership alignment, strategic planning, and resource allocation for sustainable digital and AI change.
  • Building Your Talent Bench
    • In this section, we will explore how to identify, develop, and support digital and artificial intelligence talent, bridging talent gaps and fostering environments where digital experts achieve their full potential.
  • Adopting a New Operating Model
    • In this section, we examine how to scale agile operating models, structure governance for managing numerous agile pods, and embed customer experience (CX) design into digital and AI-driven organizations for increased flexibility and speed.
  • Technology for Speed and Distributed Innovation
    • In this section, we examine how distributed architectures, API integration, cloud adoption, automation, and DevSecOps enable rapid, secure software and AI innovation, emphasizing key technology and leadership practices for digital transformation.
  • Embedding Data Everywhere
    • In this section, we examine how to design reusable data products, implement federated data governance, and build robust data architecture, enabling organizations to scale AI initiatives and foster data-driven decision making.
  • The Keys to Unlock Adoption and Scaling
    • In this section, we examine strategies for user adoption and scaling of digital and AI solutions, discuss solution design for replication, and highlight using KPIs to track impact and ensure business value.
  • Transformation Journey Stories
    • In this section, we analyze real-world case studies from leading companies to illustrate how integrating six core capabilities enables successful digital and AI transformation, emphasizing practical applications and scalable adoption.

Taught by

Wiley-Expert Edge Course Instructors

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