Navigate the Specifics of Industrial AI
Investment cycles in machinery, a fragmented supply chain for automation technology, brownfield data access challenges, and reliability concerns are just some of the headwinds anyone with high ambitions to deploy AI in industry faces.
“Industrial AI: from Pilot to Profit” provides comprehensive insights for riding the AI wave, despite the uncompromising realities of industrial environments. Whether directing a startup strategy or launching corporate AI initiatives, this book is instrumental in steering teams towards successful industrial-grade AI approaches.
- Familiarize yourself with foundational concepts – from digital twins and the industrial metaverse to process mining and agentic AI.
- Gain insights into establishing key AI capabilities such as access to data, technology, and talent.
- Navigate adoption hurdles such as brownfield environments, legacy integration, and the physical constraints of industrial assets.
- Get inspired by more than 100 solution briefs across all enterprise functions as starting points for your AI initiatives.

“We always need good translators of our research findings. Boris Scharinger does an excellent job of this in his book. Without resorting to buzzword bingo, he explains how to make AI industrial-grade.”
Prof. Sepp Hochreiter, Head of the Institute for Machine Learning at the Johannes-Kepler-University of Linz

“This book powerfully demonstrates how AI creates real value in industrial practice. With its extraordinary range of application areas and tangible use cases, it serves as a unique source of inspiration for decision-makers and users alike. Anyone seeking to understand how AI actually works in a business setting and how it can be implemented will find this an indispensable reference work.”

Prof. Dr. Marco Huber
Professorship for Cognitive Production Systems at the University of Stuttgart and Head of the Centre for Cyber-Cognitive Intelligence at the Fraunhofer Institute for Manufacturing Engineering and Automation IPA.

“Industrial AI: from Pilot to Profit is the book I wish had existed when we started building Blockbrain. It calls out, without sugarcoating, why 95% of GenAI initiatives fail – and provides the compass that startups need to avoid the same traps. Brownfield complexity, legacy integration, physical constraints – this is our daily reality. Boris explains it in a way that resonates equally with the CIO on the customer side and the engineering team at your startup. For every founder in the Industrial AI space who is serious about scaling: this is required reading.”
Antonius Gress, Startup CEO & Co-Founder, Blockbrain