building ai driven decision making (14 risultati)

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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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Paperback. Condizione: new. Paperback. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Hardcover. Condizione: new. Hardcover. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condizione: new. Paperback. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Condizione: Neu. Building AI-Driven Decision Making Competencies for Sustainability | Zahid Hussain (u. a.) | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337358925 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Hardcover. Condizione: new. Hardcover. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As global challenges like climate change rise, organizations turn to AI to enhance their decision-making processes for sustainability. Building AI-driven decision-making competencies requires creating data literacy, ethical awareness, and cross-disciplinary collaboration to ensure that AI tools are used responsibly and effectively. When thoughtfully integrated, AI can uncover insights from complex datasets, optimize resource use, and support long-term environmental and social goals. Developing these competencies empowers businesses and institutions to make informed, transparent, and impactful decisions that align with sustainable development goals. Building AI-Driven Decision Making Competencies for Sustainability explores how AI can empower organizations to make smarter, more responsible decisions that drive sustainable outcomes. It delves into how AI tools can be harnessed to enhance strategic planning, operational efficiency, and ethical governance within sustainable business frameworks. This book covers topics such as robotics, digital marketing, and big data, and is a useful resource for business owners, computer engineers, marketers, academicians, researchers, and data scientists.

Buch. Condizione: Neu. Building AI-Driven Decision Making Competencies for Sustainability | Zahid Hussain (u. a.) | Buch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337358918 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As global challenges like climate change rise, organizations turn to AI to enhance their decision-making processes for sustainability. Building AI-driven decision-making competencies requires creating data literacy, ethical awareness, and cross-disciplinary collaboration to ensure that AI tools are used responsibly and effectively. When thoughtfully integrated, AI can uncover insights from complex datasets, optimize resource use, and support long-term environmental and social goals. Developing these competencies empowers businesses and institutions to make informed, transparent, and impactful decisions that align with sustainable development goals. Building AI-Driven Decision Making Competencies for Sustainability explores how AI can empower organizations to make smarter, more responsible decisions that drive sustainable outcomes. It delves into how AI tools can be harnessed to enhance strategic planning, operational efficiency, and ethical governance within sustainable business frameworks. This book covers topics such as robotics, digital marketing, and big data, and is a useful resource for business owners, computer engineers, marketers, academicians, researchers, and data scientists.