9798294708382 - ai essentials for chemical engineers: practical strategies to accelerate career growth in a data-driven industry di sunn, stephan s. (7 risultati)
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 15,65
EUR 2,31 spedizioneSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New.
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 17,16
EUR 2,31 spedizioneSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: As New. Unread book in perfect condition.
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 19,43
EUR 17,61 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Condizione: As New. Unread book in perfect condition.
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 22,34
EUR 17,61 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Condizione: New.
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- Print on Demand
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 18,05
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. The book explores the transformative potential of artificial intelligence (AI) in chemical engineering, positioning it as a strategic imperative rather than a mere technological upgrade. It highlights how AI can revolutionize traditional processes-from predictive maintenance and molecular p…roperty prediction to real-time process optimization-while addressing unique adoption challenges like data sparsity, regulatory constraints, and cultural inertia. The author emphasizes a phased approach (Pilot Scale Optimize) for successful AI integration, aligning initiatives with core operational KPIs such as yield optimization and energy efficiency. Beyond technical applications, the book underscores AI's role in reshaping commercial strategy, enabling chemical engineers to drive innovation in R&D, supply chain management, and ESG compliance. It identifies emerging hybrid roles (e.g., Process AI Engineer, AI Ethics Officer) and advocates for cross-disciplinary collaboration to bridge gaps between domain expertise and data science. Regional trends-such as the U.S.'s venture-driven ecosystem, the EU's sustainability focus, and China's state-led scaling-illustrate diverse global adoption pathways. For stakeholders, the book offers actionable blueprints: professionals must upskill in AI fluency; students should pursue interdisciplinary training; educators need to modernize curricula; and investors must balance near-term tools with moonshot projects. The overarching message is clear: AI is redefining chemical engineering as a data-driven, innovation-led discipline, and those who adapt early will lead the industry's next era. Success hinges on merging human intuition with machine intelligence to unlock unprecedented efficiency, sustainability, and strategic value. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Da: California Books, Miami, FL, U.S.A.California Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 18,06
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Condizione: New. Print on Demand.
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- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 22,35
EUR 43,43 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. The book explores the transformative potential of artificial intelligence (AI) in chemical engineering, positioning it as a strategic imperative rather than a mere technological upgrade. It highlights how AI can revolutionize traditional processes-from predictive maintenance and molecular p…roperty prediction to real-time process optimization-while addressing unique adoption challenges like data sparsity, regulatory constraints, and cultural inertia. The author emphasizes a phased approach (Pilot Scale Optimize) for successful AI integration, aligning initiatives with core operational KPIs such as yield optimization and energy efficiency. Beyond technical applications, the book underscores AI's role in reshaping commercial strategy, enabling chemical engineers to drive innovation in R&D, supply chain management, and ESG compliance. It identifies emerging hybrid roles (e.g., Process AI Engineer, AI Ethics Officer) and advocates for cross-disciplinary collaboration to bridge gaps between domain expertise and data science. Regional trends-such as the U.S.'s venture-driven ecosystem, the EU's sustainability focus, and China's state-led scaling-illustrate diverse global adoption pathways. For stakeholders, the book offers actionable blueprints: professionals must upskill in AI fluency; students should pursue interdisciplinary training; educators need to modernize curricula; and investors must balance near-term tools with moonshot projects. The overarching message is clear: AI is redefining chemical engineering as a data-driven, innovation-led discipline, and those who adapt early will lead the industry's next era. Success hinges on merging human intuition with machine intelligence to unlock unprecedented efficiency, sustainability, and strategic value. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
