"I've worked as a C-level executive in multiple insurance companies and engaged countless strategy consultants, IT consultants and technology vendors over the past two decades. This book describes the only approach that has actually allowed me to operationalize predictive models and deliver real ROI!" Digital Decisioning ensures your systems act intelligently on your behalf, making precise, consistent, real-time decisions at every touch point. It operationalizes machine learning and artificial intelligence, so you can make the best possible decision, every time. It uses business rules to guarantee the agility, transparency and compliance that established companies and regulated industries demand. Focusing only on decision-making, it supports continuous learning and improvement. Digital Decisioning applies machine learning and artificial intelligence at scale to automate the decisions essential for more profitable, more customer-centric and more digital business operations. "Essential reading for COOs looking to rigorously improve automation through AI." Based on dozens of successful projects around the word, this book lays out the basic elements of the approach in a practical how-to guide. Aimed at managers, not technical teams, this book will focus your efforts to apply machine learning, artificial intelligence and predictive analytics. It emphasizes practical "do this next" advice delivered in non-technical terms, describing the business value and impact of critical technologies without diving into technical detail. Stories of real implementations, real companies, show what can be done. A completely updated version of an established and popular book on Decision Management, this second edition has forewords by leading analytic experts, Tom Davenport and Eric Siegel. "James has been at the forefront of decision management techniques for years. Anyone trying to automate and embed analytics to support decisions should read this book." --Bill Franks, Chief Analytics Officer, International Institute for Analytics, speaker, and author. "An absolute masterclass in analytics from one of the great masters himself. Nothing but solid knowledge, sage advice, and great examples without an ounce of hyperbole or fluff." --Doug Laney, Principal Data Strategist with Caserta, and best-selling author of 'Infonomics'.
"Sinopsis" puede pertenecer a otra edición de este libro.
James is the founder and an Executive Partner at Blue Polaris, formerly Decision Management Solutions. James is the leading expert in in Digital Decisioning, a best practice for delivering business impact from AI and machine learning. James is also one of the leading experts in decision modeling and Decision Model Notation (DMN) standard.James has over 25 years developing software and solutions for clients and leads a projects that help our clients use Digital Decisioning in conjunction with supporting decisioning technologies, data science, AI, machine learning and predictive analytics to improve real-time operational decision-making. He has led Decision Management and decision modeling efforts for leading companies in insurance, banking, health management, manufacturing, travel and telecommunications.James is the author of "Digital Decisioning: Using Decision Management to Deliver Business Impact from AI" (2019-2026), "Real-World Decision Modeling with DMN" (2016, 2023) with Jan Purchase, "Decision Management Systems: A practical guide to using business rules and predictive analytics" (2011), "The MicroGuide to Process and Decision Modeling in BPMN/DMN: Building More Effective Processes by Integrating Process Modeling with Decision Modeling" (2014) with Tom Debevoise and "Smart (Enough) Systems: How to Deliver Competitive Advantage by Automating Hidden Decisions" (2007) with Neil Raden. He and has contributed chapters on Decision Management to multiple books as well as many articles to magazines.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Paperback. Condición: new. Paperback. "I've worked as a C-level executive in multiple insurance companies and engaged countless strategy consultants, IT consultants and technology vendors over the past two decades. This book describes the only approach that has actually allowed me to operationalize predictive models and deliver real ROI!"Digital Decisioning ensures your systems act intelligently on your behalf, making precise, consistent, real-time decisions at every touch point. It operationalizes machine learning and artificial intelligence, so you can make the best possible decision, every time. It uses business rules to guarantee the agility, transparency and compliance that established companies and regulated industries demand. Focusing only on decision-making, it supports continuous learning and improvement. Digital Decisioning applies machine learning and artificial intelligence at scale to automate the decisions essential for more profitable, more customer-centric and more digital business operations."Essential reading for COOs looking to rigorously improve automation through AI."Based on dozens of successful projects around the word, this book lays out the basic elements of the approach in a practical how-to guide. Aimed at managers, not technical teams, this book will focus your efforts to apply machine learning, artificial intelligence and predictive analytics. It emphasizes practical "do this next" advice delivered in non-technical terms, describing the business value and impact of critical technologies without diving into technical detail. Stories of real implementations, real companies, show what can be done.A completely updated version of an established and popular book on Decision Management, this second edition has forewords by leading analytic experts, Tom Davenport and Eric Siegel."James has been at the forefront of decision management techniques for years. Anyone trying to automate and embed analytics to support decisions should read this book."--Bill Franks, Chief Analytics Officer, International Institute for Analytics, speaker, and author."An absolute masterclass in analytics from one of the great masters himself. Nothing but solid knowledge, sage advice, and great examples without an ounce of hyperbole or fluff."--Doug Laney, Principal Data Strategist with Caserta, and best-selling author of 'Infonomics'. Based on successful projects around the world, this book lays out the elements of the approach in a practical how-to guide. Aimed at managers, not technical teams, it will focus your eorts to apply machine learning and AI. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798996777815
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Paperback. Condición: new. Paperback. "I've worked as a C-level executive in multiple insurance companies and engaged countless strategy consultants, IT consultants and technology vendors over the past two decades. This book describes the only approach that has actually allowed me to operationalize predictive models and deliver real ROI!"Digital Decisioning ensures your systems act intelligently on your behalf, making precise, consistent, real-time decisions at every touch point. It operationalizes machine learning and artificial intelligence, so you can make the best possible decision, every time. It uses business rules to guarantee the agility, transparency and compliance that established companies and regulated industries demand. Focusing only on decision-making, it supports continuous learning and improvement. Digital Decisioning applies machine learning and artificial intelligence at scale to automate the decisions essential for more profitable, more customer-centric and more digital business operations."Essential reading for COOs looking to rigorously improve automation through AI."Based on dozens of successful projects around the word, this book lays out the basic elements of the approach in a practical how-to guide. Aimed at managers, not technical teams, this book will focus your efforts to apply machine learning, artificial intelligence and predictive analytics. It emphasizes practical "do this next" advice delivered in non-technical terms, describing the business value and impact of critical technologies without diving into technical detail. Stories of real implementations, real companies, show what can be done.A completely updated version of an established and popular book on Decision Management, this second edition has forewords by leading analytic experts, Tom Davenport and Eric Siegel."James has been at the forefront of decision management techniques for years. Anyone trying to automate and embed analytics to support decisions should read this book."--Bill Franks, Chief Analytics Officer, International Institute for Analytics, speaker, and author."An absolute masterclass in analytics from one of the great masters himself. Nothing but solid knowledge, sage advice, and great examples without an ounce of hyperbole or fluff."--Doug Laney, Principal Data Strategist with Caserta, and best-selling author of 'Infonomics'. Based on successful projects around the world, this book lays out the elements of the approach in a practical how-to guide. Aimed at managers, not technical teams, it will focus your eorts to apply machine learning and AI. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798996777815
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'I've worked as a C-level executive in multiple insurance companies and engaged countless strategy consultants, IT consultants and technology vendors over the past two decades. This book describes the only approach that has actually allowed me to operationalize predictive models and deliver real ROI!'Digital Decisioning ensures your systems act intelligently on your behalf, making precise, consistent, real-time decisions at every touch point. It operationalizes machine learning and artificial intelligence, so you can make the best possible decision, every time. It uses business rules to guarantee the agility, transparency and compliance that established companies and regulated industries demand. Focusing only on decision-making, it supports continuous learning and improvement. Digital Decisioning applies machine learning and artificial intelligence at scale to automate the decisions essential for more profitable, more customer-centric and more digital business operations.'Essential reading for COOs looking to rigorously improve automation through AI.'Based on dozens of successful projects around the word, this book lays out the basic elements of the approach in a practical how-to guide. Aimed at managers, not technical teams, this book will focus your efforts to apply machine learning, artificial intelligence and predictive analytics. It emphasizes practical 'do this next' advice delivered in non-technical terms, describing the business value and impact of critical technologies without diving into technical detail. Stories of real implementations, real companies, show what can be done.A completely updated version of an established and popular book on Decision Management, this second edition has forewords by leading analytic experts, Tom Davenport and Eric Siegel.'James has been at the forefront of decision management techniques for years. Anyone trying to automate and embed analytics to support decisions should read this book.'--Bill Franks, Chief Analytics Officer, International Institute for Analytics, speaker, and author.'An absolute masterclass in analytics from one of the great masters himself. Nothing but solid knowledge, sage advice, and great examples without an ounce of hyperbole or fluff.'--Doug Laney, Principal Data Strategist with Caserta, and best-selling author of 'Infonomics'. Nº de ref. del artículo: 9798996777815
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Paperback. Condición: new. Paperback. "I've worked as a C-level executive in multiple insurance companies and engaged countless strategy consultants, IT consultants and technology vendors over the past two decades. This book describes the only approach that has actually allowed me to operationalize predictive models and deliver real ROI!"Digital Decisioning ensures your systems act intelligently on your behalf, making precise, consistent, real-time decisions at every touch point. It operationalizes machine learning and artificial intelligence, so you can make the best possible decision, every time. It uses business rules to guarantee the agility, transparency and compliance that established companies and regulated industries demand. Focusing only on decision-making, it supports continuous learning and improvement. Digital Decisioning applies machine learning and artificial intelligence at scale to automate the decisions essential for more profitable, more customer-centric and more digital business operations."Essential reading for COOs looking to rigorously improve automation through AI."Based on dozens of successful projects around the word, this book lays out the basic elements of the approach in a practical how-to guide. Aimed at managers, not technical teams, this book will focus your efforts to apply machine learning, artificial intelligence and predictive analytics. It emphasizes practical "do this next" advice delivered in non-technical terms, describing the business value and impact of critical technologies without diving into technical detail. Stories of real implementations, real companies, show what can be done.A completely updated version of an established and popular book on Decision Management, this second edition has forewords by leading analytic experts, Tom Davenport and Eric Siegel."James has been at the forefront of decision management techniques for years. Anyone trying to automate and embed analytics to support decisions should read this book."--Bill Franks, Chief Analytics Officer, International Institute for Analytics, speaker, and author."An absolute masterclass in analytics from one of the great masters himself. Nothing but solid knowledge, sage advice, and great examples without an ounce of hyperbole or fluff."--Doug Laney, Principal Data Strategist with Caserta, and best-selling author of 'Infonomics'. Based on successful projects around the world, this book lays out the elements of the approach in a practical how-to guide. Aimed at managers, not technical teams, it will focus your eorts to apply machine learning and AI. 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. Nº de ref. del artículo: 9798996777815
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Taschenbuch. Condición: Neu. Digital Decisioning | Using Decision Management to Deliver Business Impact from AI | James Taylor | Taschenbuch | Englisch | 2026 | JTonEDM | EAN 9798996777815 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 136440549
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