Maxmetrics apr 2026 (4 risultati)

Taschenbuch. Condizione: Neu. Neuware - Projects fail not because leaders lack intelligence or effort - but because uncertainty is treated as a problem to eliminate rather than a condition to manage.Traditional project models assume stable plans and predictable outcomes. Reality is different. Markets shift, technology evolves, regulations change, and stakeholder priorities realign. When uncertainty rises, rigid execution destroys value.This book gives project leaders, portfolio executives, and governance professionals a practical framework for designing flexibility into investments from the start. By integrating Real Options Analysis with project governance, it shows how to stage capital commitments, expand when evidence supports it, limit downside exposure, and make disciplined stop-or-scale decisions without requiring a financial modeling background.A structured implementation process, worked valuation model, and full illustrative case make the framework immediately applicable.Projects do not fail less because uncertainty disappears.They fail less because uncertainty is structured and governed deliberately. …

Taschenbuch. Condizione: Neu. Neuware - Responsible Project Leadership in the Age of Digital Accountability examines how modern projects operate within increasingly complex digital and regulatory environments. Projects now influence markets, shape human outcomes, generate persistent digital records, and interact with cloud platforms and artificial intelligence systems.The book introduces the GRIP Framework-Governance, Responsibility, Integrity, and Performance-a structured model for managing digital, cloud, and AI-enabled initiatives. It explores how project leaders can integrate governance structures, ethical oversight, stakeholder accountability, digital asset and record governance, and performance management throughout the project lifecycle.Drawing on established project management standards, including alignment with the principles-based direction of the PMI PMBOK(R) Guide - Eighth Edition, and considering emerging AI governance and regulatory frameworks, the book presents approaches for managing projects in environments where accountability, transparency, and defensibility are increasingly important.This work is intended for project managers, program leaders, executives, and governance professionals responsible for delivering technology-driven initiatives in contemporary organizational settings. …

Taschenbuch. Condizione: Neu. Neuware - The people most harmed by AI systems are usually the ones no one thought to include.Artificial intelligence now shapes hiring decisions, loan approvals, fraud detection, healthcare, and law enforcement. When these systems fail, responsibility is rarely clear. Projects end, teams move on, and the individuals affected may not even know that an algorithm influenced the decision.The Hidden Stakeholders of Artificial Intelligence identifies the root cause: passive stakeholders - people who may be seriously affected by an AI system but have no influence over the project that created it. Their interests are invisible during early design decisions. Yet they are the ones who bear the consequences when systems fail.This book provides project leaders, executives, and governance teams with a practical method for finding those stakeholders before harm occurs. At its center is the Four Tests framework - power, legitimacy, urgency, and harm - which extends classical stakeholder theory to surface the groups most projects overlook. Supporting tools include a stakeholder responsibility workshop, a harm taxonomy, impact-harm scoring, and a lifecycle-weighted governance model, all ready to apply.Five real cases - involving a pharmacy's facial recognition system, AI training data and copyright, an automated trading algorithm, an auto loan case, and AI-generated court citations - demonstrate exactly how governance gaps emerge and what they cost.Written by a researcher and practitioner with more than twenty years of AI project experience, this is not a book about the risks of artificial intelligence in the abstract.It is a guide for the people building it. …

Taschenbuch. Condizione: Neu. Neuware - Artificial intelligence systems are no longer experimental. They approve loans, screen job candidates, detect fraud, and influence healthcare decisions. Yet most AI systems are not built in research labs - they are built in projects.And projects make choices.Moral Artificial Intelligence Projects is a practical guide for leaders, project managers, sponsors, and governance professionals who must ensure that AI systems not only function, but deserve trust.This book introduces a structured governance framework built on five pillars: Governance, Stakeholder Inclusion, Data Responsibility, Transparency and Explainability, and Long-Term Oversight. Each pillar translates ethical intent into operational controls that project teams can apply directly.Through five real-world cases - including a pharmacy banned by the FTC for facial recognition failures and attorneys sanctioned for submitting AI-fabricated court citations - the book shows how ethical risk emerges, how accountability erodes under delivery pressure, and what governance structures could have prevented each failure.AI projects are not just technical exercises. They are moral acts.This book provides the discipline to lead them responsibly.…