Stephen o aro gordon (38 résultats)

Etat : New.

Etat : New.

Etat : New.

Etat : New.

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

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

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

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

Paperback. Etat : New.

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

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

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

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

Hardback. Etat : New.

Hardback. Etat : New.

Paperback. Etat : New.

Hardback. Etat : New.

Hardback. Etat : New.

Paperback. Etat : new. Paperback. AI is transforming how projects are conceived, planned, governed, executed, and evaluated. After decades of incremental tool support, project management is now crossing a threshold where intelligent systems can anticipate risks before they emerge, optimize schedules and resource plans in minutes, synthesize large volumes of documentation, and support teams in real time. Technologies including large language models (LLMs), predictive analytics, optimization algorithms, and intelligent agents are becoming embedded in everyday project workflows, from stakeholder engagement to procurement and change control. This shift is redefining the discipline, moving it from primarily retrospective reporting toward proactive, data-driven decision intelligence. The Role of AI in Modern Project Management positions AI not as a replacement for project professionals, but as an augmentation of judgment, creativity, and collaboration. In increasingly complex and dynamic environments, AI enhances the precision, pace, and inclusivity of project work through improved forecasting, faster processes, and clearer communication. Covering topics such as project initiation and planning, early-stage project evaluation, and predictive intelligence, this book is an emerging academic resource for graduate and doctoral students, project professionals, executives, consultants, educators, policy makers, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Etat : new. Paperback. Organizations navigate complexity and uncertainty through intelligent project management and business decision-making. By leveraging advanced analytics, machine learning, and real-time data, these technologies enable teams to accurately predict outcomes, optimize resource allocation, and make faster, evidence-based decisions. AI systems learn and adapt, identifying potential risks before they increase and recommending proactive strategies. As a result, businesses can improve efficiency, reduce costly errors, and maintain a competitive edge in rapidly changing environments. AI-Driven Project Planning, Decision Intelligence, and Risk Management explores how AI enhances project planning by improving forecasting, optimizing resources, and supporting data-driven decision-making. It examines how decision intelligence and AI-powered risk management help organizations anticipate uncertainties, reduce risks, and respond to changing conditions. This book covers topics such as digital technology, business intelligence, and data science, and is a useful resource for business owners, engineers, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Etat : new. Hardcover. AI is transforming how projects are conceived, planned, governed, executed, and evaluated. After decades of incremental tool support, project management is now crossing a threshold where intelligent systems can anticipate risks before they emerge, optimize schedules and resource plans in minutes, synthesize large volumes of documentation, and support teams in real time. Technologies including large language models (LLMs), predictive analytics, optimization algorithms, and intelligent agents are becoming embedded in everyday project workflows, from stakeholder engagement to procurement and change control. This shift is redefining the discipline, moving it from primarily retrospective reporting toward proactive, data-driven decision intelligence. The Role of AI in Modern Project Management positions AI not as a replacement for project professionals, but as an augmentation of judgment, creativity, and collaboration. In increasingly complex and dynamic environments, AI enhances the precision, pace, and inclusivity of project work through improved forecasting, faster processes, and clearer communication. Covering topics such as project initiation and planning, early-stage project evaluation, and predictive intelligence, this book is an emerging academic resource for graduate and doctoral students, project professionals, executives, consultants, educators, policy makers, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Etat : new. Hardcover. Organizations navigate complexity and uncertainty through intelligent project management and business decision-making. By leveraging advanced analytics, machine learning, and real-time data, these technologies enable teams to accurately predict outcomes, optimize resource allocation, and make faster, evidence-based decisions. AI systems learn and adapt, identifying potential risks before they increase and recommending proactive strategies. As a result, businesses can improve efficiency, reduce costly errors, and maintain a competitive edge in rapidly changing environments. AI-Driven Project Planning, Decision Intelligence, and Risk Management explores how AI enhances project planning by improving forecasting, optimizing resources, and supporting data-driven decision-making. It examines how decision intelligence and AI-powered risk management help organizations anticipate uncertainties, reduce risks, and respond to changing conditions. This book covers topics such as digital technology, business intelligence, and data science, and is a useful resource for business owners, engineers, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Etat : new. Paperback. AI is transforming how projects are conceived, planned, governed, executed, and evaluated. After decades of incremental tool support, project management is now crossing a threshold where intelligent systems can anticipate risks before they emerge, optimize schedules and resource plans in minutes, synthesize large volumes of documentation, and support teams in real time. Technologies including large language models (LLMs), predictive analytics, optimization algorithms, and intelligent agents are becoming embedded in everyday project workflows, from stakeholder engagement to procurement and change control. This shift is redefining the discipline, moving it from primarily retrospective reporting toward proactive, data-driven decision intelligence. The Role of AI in Modern Project Management positions AI not as a replacement for project professionals, but as an augmentation of judgment, creativity, and collaboration. In increasingly complex and dynamic environments, AI enhances the precision, pace, and inclusivity of project work through improved forecasting, faster processes, and clearer communication. Covering topics such as project initiation and planning, early-stage project evaluation, and predictive intelligence, this book is an emerging academic resource for graduate and doctoral students, project professionals, executives, consultants, educators, policy makers, and more. 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. Etat : new. Paperback. Organizations navigate complexity and uncertainty through intelligent project management and business decision-making. By leveraging advanced analytics, machine learning, and real-time data, these technologies enable teams to accurately predict outcomes, optimize resource allocation, and make faster, evidence-based decisions. AI systems learn and adapt, identifying potential risks before they increase and recommending proactive strategies. As a result, businesses can improve efficiency, reduce costly errors, and maintain a competitive edge in rapidly changing environments. AI-Driven Project Planning, Decision Intelligence, and Risk Management explores how AI enhances project planning by improving forecasting, optimizing resources, and supporting data-driven decision-making. It examines how decision intelligence and AI-powered risk management help organizations anticipate uncertainties, reduce risks, and respond to changing conditions. This book covers topics such as digital technology, business intelligence, and data science, and is a useful resource for business owners, engineers, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - AI is transforming how projects are conceived, planned, governed, executed, and evaluated. After decades of incremental tool support, project management is now crossing a threshold where intelligent systems can anticipate risks before they emerge, optimize schedules and resource plans in minutes, synthesize large volumes of documentation, and support teams in real time. Technologies including large language models (LLMs), predictive analytics, optimization algorithms, and intelligent agents are becoming embedded in everyday project workflows, from stakeholder engagement to procurement and change control. This shift is redefining the discipline, moving it from primarily retrospective reporting toward proactive, data-driven decision intelligence. The Role of AI in Modern Project Management positions AI not as a replacement for project professionals, but as an augmentation of judgment, creativity, and collaboration. In increasingly complex and dynamic environments, AI enhances the precision, pace, and inclusivity of project work through improved forecasting, faster processes, and clearer communication. Covering topics such as project initiation and planning, early-stage project evaluation, and predictive intelligence, this book is an emerging academic resource for graduate and doctoral students, project professionals, executives, consultants, educators, policy makers, and more.…

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Organizations navigate complexity and uncertainty through intelligent project management and business decision-making. By leveraging advanced analytics, machine learning, and real-time data, these technologies enable teams to accurately predict outcomes, optimize resource allocation, and make faster, evidence-based decisions. AI systems learn and adapt, identifying potential risks before they increase and recommending proactive strategies. As a result, businesses can improve efficiency, reduce costly errors, and maintain a competitive edge in rapidly changing environments. AI-Driven Project Planning, Decision Intelligence, and Risk Management explores how AI enhances project planning by improving forecasting, optimizing resources, and supporting data-driven decision-making. It examines how decision intelligence and AI-powered risk management help organizations anticipate uncertainties, reduce risks, and respond to changing conditions. This book covers topics such as digital technology, business intelligence, and data science, and is a useful resource for business owners, engineers, academicians, researchers, and scientists.…

Hardcover. Etat : new. Hardcover. AI is transforming how projects are conceived, planned, governed, executed, and evaluated. After decades of incremental tool support, project management is now crossing a threshold where intelligent systems can anticipate risks before they emerge, optimize schedules and resource plans in minutes, synthesize large volumes of documentation, and support teams in real time. Technologies including large language models (LLMs), predictive analytics, optimization algorithms, and intelligent agents are becoming embedded in everyday project workflows, from stakeholder engagement to procurement and change control. This shift is redefining the discipline, moving it from primarily retrospective reporting toward proactive, data-driven decision intelligence. The Role of AI in Modern Project Management positions AI not as a replacement for project professionals, but as an augmentation of judgment, creativity, and collaboration. In increasingly complex and dynamic environments, AI enhances the precision, pace, and inclusivity of project work through improved forecasting, faster processes, and clearer communication. Covering topics such as project initiation and planning, early-stage project evaluation, and predictive intelligence, this book is an emerging academic resource for graduate and doctoral students, project professionals, executives, consultants, educators, policy makers, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Etat : new. Hardcover. Organizations navigate complexity and uncertainty through intelligent project management and business decision-making. By leveraging advanced analytics, machine learning, and real-time data, these technologies enable teams to accurately predict outcomes, optimize resource allocation, and make faster, evidence-based decisions. AI systems learn and adapt, identifying potential risks before they increase and recommending proactive strategies. As a result, businesses can improve efficiency, reduce costly errors, and maintain a competitive edge in rapidly changing environments. AI-Driven Project Planning, Decision Intelligence, and Risk Management explores how AI enhances project planning by improving forecasting, optimizing resources, and supporting data-driven decision-making. It examines how decision intelligence and AI-powered risk management help organizations anticipate uncertainties, reduce risks, and respond to changing conditions. This book covers topics such as digital technology, business intelligence, and data science, and is a useful resource for business owners, engineers, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - AI is transforming how projects are conceived, planned, governed, executed, and evaluated. After decades of incremental tool support, project management is now crossing a threshold where intelligent systems can anticipate risks before they emerge, optimize schedules and resource plans in minutes, synthesize large volumes of documentation, and support teams in real time. Technologies including large language models (LLMs), predictive analytics, optimization algorithms, and intelligent agents are becoming embedded in everyday project workflows, from stakeholder engagement to procurement and change control. This shift is redefining the discipline, moving it from primarily retrospective reporting toward proactive, data-driven decision intelligence. The Role of AI in Modern Project Management positions AI not as a replacement for project professionals, but as an augmentation of judgment, creativity, and collaboration. In increasingly complex and dynamic environments, AI enhances the precision, pace, and inclusivity of project work through improved forecasting, faster processes, and clearer communication. Covering topics such as project initiation and planning, early-stage project evaluation, and predictive intelligence, this book is an emerging academic resource for graduate and doctoral students, project professionals, executives, consultants, educators, policy makers, and more.…

Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Organizations navigate complexity and uncertainty through intelligent project management and business decision-making. By leveraging advanced analytics, machine learning, and real-time data, these technologies enable teams to accurately predict outcomes, optimize resource allocation, and make faster, evidence-based decisions. AI systems learn and adapt, identifying potential risks before they increase and recommending proactive strategies. As a result, businesses can improve efficiency, reduce costly errors, and maintain a competitive edge in rapidly changing environments. AI-Driven Project Planning, Decision Intelligence, and Risk Management explores how AI enhances project planning by improving forecasting, optimizing resources, and supporting data-driven decision-making. It examines how decision intelligence and AI-powered risk management help organizations anticipate uncertainties, reduce risks, and respond to changing conditions. This book covers topics such as digital technology, business intelligence, and data science, and is a useful resource for business owners, engineers, academicians, researchers, and scientists.…