Hype is Good – But Results are Better!

eBook: How to Effectively Integrate AI into Product Development

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eBook: AI in Product Development

The industry is at a revolutionary turning point: Artificial Intelligence (AI) is no longer a vision of the future but a tangible competitive advantage. But how can this technology be used effectively in product development? Our eBook not only provides answers but also delivers practical knowledge with real value.

Knowledge That Drives You Forward

Our eBook is much more than an introduction to the world of AI. It delves deep into central topics and offers an abundance of information. Our goal is to not only provide high-level insights, but also in-depth knowledge you can directly apply to your practice.

From using AI in both the cloud and on-premises, to precise probability calculations in simulations, and rapid and effective AI model training - we cover all relevant aspects.

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Co-Design the eBook

Do you have specific questions or topics you’d like addressed? We aim to ensure our eBook answers the questions that matter most to you. Share your thoughts with us; your questions will influence the new parts of the eBook. Seize the opportunity to co-create an eBook that not only informs but propels you forward.

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More Than Just an Overview - The eBook That Grows

This eBook is a dynamic source of knowledge: it goes beyond surface-level insights, providing practical, in-depth expertise and answering the most common questions about AI - from the fundamentals to specific applications.

We’ve designed our eBook so that each key AI topic is explored in its own dedicated part. Throughout the year, the eBook will be continuously expanded with new parts and exciting topics.

Our Tip: Subscribe to our newsletter to be notified of each new part and never miss an update. Stay informed and get answers to your most pressing AI questions.

Part 1

Technology

Magic or Just Mathematics? What AI is Really About!

In the first part of the eBook, we focus on the fundamentals of AI, specifically for product development. What can it achieve? Where does it fall short? We explain how quickly AI learns, how accurate its responses are, and what AI has to do with machine learning and neural networks. You'll also learn about system requirements and key considerations for training AI.

Clear and to the point.

Part 2

Data

More Isn’t Always Better! The Truth About Data.

Data is the heart of AI. In the second part, you’ll learn how much data is truly needed for effective AI training, how to keep your data up-to-date, and how to optimize the quality of your results. We debunk misconceptions about data quality and quantity, explain how to seamlessly integrate AI into existing data streams, and provide tips for data preparation.

Good results start with a solid data foundation.

Part 3

Business Cases

Sounds Great, But Does It Work? AI Applications in Simulation!

How can the use of AI deliver real value? The third part is all about practical applications for product development. Get inspired by real-world use cases. You’ll gain a comprehensive overview of various application scenarios and come closer to answering the question of whether AI is the solution to your challenges—including tips for your first AI project.

Practical, solution-oriented, and tailored to your needs.

Part 4

Implementation

Making AI Part of the Team!

How can AI become an integral element of your product development? The fourth part outlines how to lay the groundwork for AI projects, prepare teams, and adapt processes. We also cover automation, internal knowledge sharing, and legal aspects like data security and liability, ensuring your AI project starts on solid ground.

With actionable tips for a holistic approach to product development.

Part 5

Humans & AI

Competitors or Partners?

Will AI replace engineers, or will it become their most essential tool? In the fifth part, we explore what engineering means in the age of AI. Learn how humans and AI can collaborate to advance product development, what engineers need to know about AI, and how their roles will evolve. We also address ethical guidelines and examine the tasks AI can realistically handle.

Future-oriented and pragmatic.

Overview

When Are The Chapters Expected to Be Released?

Part 1: April
Part 2: May
Part 3: July
Part 4: September
Part 5: November

Our Tip: Subscribe to our newsletter to be notified of each new part.

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