Driving Digital Transformation with Generative AI & Predictive AI Technologies

Driving Digital Transformation with Generative AI & Predictive AI Technologies

Digital transformation has been redefined and reshaped with the adoption of enhanced, modern generative AI and predictive AI technologies. Compared to just a few years ago, digital transformation today has become inherently AI-driven, with every part of the digital transformation lifecycle now being able to benefit from some type of AI-related contribution. This has fundamentally changed the way digital transformations are being carried out.

How digital transformation has changed is important for businesses to understand, because by successfully leveraging AI invovlement, where appropriate and applicable, the digital transformation can be carried out faster, much more cost-effectively and with less risk.

In this new LinkedIn Learning course I explores the creative ways in which generative AI and predictive AI features and functions can be incorporated into digital transformations to help organizations better plan, design, deliver and work with contemporary, sophisticated digital business solutions.

Learn how incorporating AI can help automate complex tasks, elevate customer experiences, promote product innovation, and more. Also, gain valuable insights into the significant risks and challenges that come with increased AI adoption within digital transformations, and how to avoid them.

This course is for anyone interested in understanding how advancements in AI have evolved the practice of digital transformation, how to realize their benefit potential, and how to evade associated pitfalls.

Access the new course here:

www.dhirubhai.net/learning/driving-digital-transformation-with-generative-ai-and-predictive-ai-technologies/driving-digital-transformation-with-ai

Here is the TOC:

Introduction

Overview

What You Need to Know

Chatper 1: Understanding AI-Driven Digital Transformation

Traditional vs. Contemporary Digital Transformation

Business Problems Solved with Digital Transformation

Problems Solved with Digital Technology

What is Gained from Digital Transformation

Chatper 2: Understanding Customer-Centricity

The Importance of Customer-Centric Relationships

Designing Customer-Centric Applications

Mapping out Customer Journeys and Channels

Chapter 3: Generative AI in Digital Transformations

How Generative AI Can Help Plan a Digital Transformation

How Generative AI Can Help Build Digital Solutions

How Generative AI Can Improve Customer-Centricity

Chapter 4: Predictive AI in Digital Transformations

How Predictive AI Can Help Steer a Digital Transformation

How Predictive AI Can Help Optimize a Digital Business

How Predictive AI Can Improve Customer-Centricity

Chapter 5: Risks and Challenges of AI in Digital Transformations

Coping with Flawed Data and Data Bias

Preparing for AI-Driven Cyber Threats and Quantum Computers

Recognizing the Misuse of AI Technology

Avoiding the Premature Use of AI in Automation

Conclusion

Next Steps


About the Contributor

Thomas Erl is a LinkedIn Top Voice, a best-selling IT author and he oversees the Pearson Education Digital Enterprise Series from Thomas Erl. He is the Managing Director for Arcitura Education, the Founder and Senior Advisor for Transformative Digital Solutions Inc. and a LinkedIn Learning instructor and contributor.

Follow Thomas: www.dhirubhai.net/in/thomaserl

Books, Videos, Podcasts by Thomas: www.thomaserl.com

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