In this chapter, you'll learn all about what generative AI is, and how it differs from traditional AI. You dive deeper into the generative AI ecosystem, its evolution, and how we got to this huge technological breakthrough.

What is generative AI?

Getting to know generative AI

AI vs. Generative AI

The evolution of generative AI

Key milestones

Generative AI Breakthroughs

Innovations that led to Generative AI

The progress of generative AI

The key players

The open-source question

Open-source advantages are widespread

Accelerators vs. decelerators

Introduction to Generative AI

In this chapter you'll learn how to use Generative AI to enhance workflows. You'll investigate how to use it through augmentation, co-creation and replacement techniques. Consecutively, you'll dive into responsible AI and how to prepare and lead in a future with Generative AI.

Enhancing workflows with AI

Options

Augmentation

Co-creation

Replacement

Augment, Co-create or Replace?

ChatGPT

Generative AI for marketing

Impact on business functions

Responsible AI: Social bias, copyright, ownership

Detection and mitigation techniques

True

False

Copyright and legal implications

Preparing for a future of generative AI

Uneven impact

Knowledge Explosion

Leading change in AI era

Skills in an AI World

Prepare

Avoid 

Preparing your company

Congratulations!

Generative AI Solutions

Firstly, you'll learn about generative AI and how it differs from traditional AI. You will dive deeper into the generative AI ecosystem and its key players: universities, governments, companies, and open-source communities. You'll discover the impact of the cloud and discuss various model breakthroughs. This will give you a better understanding of how we got to this huge technological breakthrough.

Consecutively, you'll learn how to use Generative AI to enhance workflows. You'll investigate how to use it through augmentation, co-creation, and replacement techniques. You'll discover generative AI's value to daily operations and strategic decisions. Finally, you'll dive into responsible AI and how to prepare and lead in a future with Generative AI through strategic alignment, change management and continuous improvement.

<h2>Introduction to Generative AI</h2>
Firstly, you'll learn about generative AI and how it differs from traditional AI. You will dive deeper into the generative AI ecosystem and its key players: universities, governments, companies, and open-source communities. You'll discover the impact of the cloud and discuss various model breakthroughs. This will give you a better understanding of how we got to this huge technological breakthrough.

<h2>Generative AI Solutions</h2>
Consecutively, you'll learn how to use Generative AI to enhance workflows. You'll investigate how to use it through augmentation, co-creation, and replacement techniques. You'll discover generative AI's value to daily operations and strategic decisions. Finally, you'll dive into responsible AI and how to prepare and lead in a future with Generative AI through strategic alignment, change management and continuous improvement.

Learn the role Generative Artificial Intelligence plays today and will play in the future in a business environment.

Generative AI for Business

AI Business Fundamentals

EU AI Act Fundamentals

Content creators and companies can be held legally responsible for copyright infringement if they use Generative AI.

The copyright for AI-generated content is typically owned by the AI itself, not the organization using the AI.

Art created by Generative AI, unlike academic research, does not have to adhere to intellectual property laws and licenses.

The legal landscape around Generative AI is crystal clear.

Copyright and legal implications

Generative AI for Business

Hands-on interactive exercise