Industrial AI: from Pilot to Profit
Industrial AI: from Pilot to Profit
Key Concepts, Success Factors, Use Cases and Market Mechanics€79.99
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- ISBN: 978-1-56990-610-1
- Release date: 05/2026
- Edition: 1
- Language: English
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Product information "Industrial AI: from Pilot to Profit"
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.
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.
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Boris Scharinger
Boris Scharinger ist Senior Innovation Manager und KI-Stratege im CTO Office bei Siemens Digital Industries. Seine Fachgebiete umfassen Start-up- und Technologie-Scouting im Bereich der industriellen KI für Engineering- und Shopfloor-Anwendungen. Seit 2022 ist er Co-Host, Moderator und Content Curator des führenden europäischen Kongresses für industrielle KI, des „AI with Purpose Summit".
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