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This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation

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Synthesis Collection of Technology (R0)

Joyce Weiner

Why AI/Data Science Projects Fail

How to Avoid Project Pitfalls

&lt;p&gt;Introduction and Background.- Project Phases and Common Project Pitfalls.- Five Methods to Avoid Common Pitfalls.- Define Phase.- Making the Business Case: Assigning Value to Your Project.- Acquisition and Exploration of Data Phase.- Model Building Phase.- Interpret and Communicate Phase.- Deployment Phase.- Considerations for Generative AI Projects in the Enterprise.- Summary of the Five Methods to Avoid Common Pitfalls.&lt;/p&gt;


Build a resilient, high-performing organization by integrating agentic AI into strategy, operations, and decision-making. Building an Agentic Organization is a strategic guide for senior technology, AI and business leaders responsible for delivering value from agentic AI while managing its risks. As organizations move toward human and AI collaboration at scale, leaders must balance innovation with governance, adoption, and long-term economic impact. Written by experienced AI executive Geoffrey Schaefer, this book provides a comprehensive framework for designing an agentic organization by examining strategy, governance, and economics. It explores how to define the purpose of agentic AI, align it with business objectives, and create the structures needed to support safe, scalable adoption. Addressing both opportunity and risk, it equips leaders to navigate workforce concerns, reputational exposure, and the evolving role of AI agents in enterprise environments. You'll learn how to: - Define a clear strategy for integrating agentic AI - Establish governance frameworks to manage risk and accountability - Drive workforce adoption and address resistance to AI collaboration - Assess economic value and impact of agentic AI systems &gt;Featuring real-world examples from Leidos, JPMorgan Chase, SY Partners, and OMA, this book provides a practical roadmap for embedding agentic AI into the fabric of your organization while protecting value, trust, and long-term performance. Themes include: agentic AI, AI strategy, AI governance, AI transformation, enterprise AI, risk management

The Strategy, Governance, and Economics of Agentic AI

Building an Agentic Organization

You know you have more to offer, but you're tired of waiting for a seat at the table to prove it. Most emerging leaders feel stuck in a holding pattern, believing that their ability to make an impact is capped by their current title or the person above them on the org chart. But influence isn't a reward for a promotion. It's a muscle you build in the mundane, everyday moments of your current role.In 90 Days to Grow Your Influence Clay Scroggins, bestselling author of How to Lead When You're Not in Charge, provides a daily roadmap for the "not-in-charge" leader. Drawing from his foundational work on leveraging influence without authority, this 90-day reader helps you navigate the tension of having great responsibility but very little power.Each day is designed to be a "snackable" but substantial 5-minute read, perfect for your morning coffee or the commute to the office. Through a mix of relatable stories, leadership metaphors, and spiritually grounded reflections, you'll learn how to: <ul><li>Understand Identity: Secure your worth in who you are, not just what you do or what your business card says.</li><li>Lead Yourself: Master the disciplines of self-awareness and emotional intelligence.</li><li>Choose Positivity: Cultivate a resilient, solution-oriented mindset that shifts the energy of every room you enter.</li><li>Think Critically: Stop being a passive observer and start solving problems.</li><li>Reject Passivity: Take ownership of the ground you're standing on today.</li><li>Challenge Well: Influence the leaders above you with relational equity and wisdom.</li></ul>Whether you are a new hire, a middle manager, or an aspiring executive, this book is your daily reminder that your seat on the org chart doesn't define your impact. You have everything you need to start leading right where you are. Real influence starts here.

You know you have more to offer, but you're tired of waiting for a seat at the table to prove it. Most emerging leaders feel stuck in a holding pattern, believing that their ability to make an impact is capped by their current title or the person above them on the org chart. But influence isn't a reward for a promotion. It's a muscle you build in the mundane, everyday moments of your current role.In 90 Days to Grow Your Influence Clay Scroggins, bestselling author of How to Lead When You're Not in Charge, provides a daily roadmap for the "not-in-charge" leader. Drawing from his foundational work on leveraging influence without authority, this 90-day reader helps you navigate the tension of having great responsibility but very little power.Each day is designed to be a "snackable" but substantial 5-minute read, perfect for your morning coffee or the commute to the office. Through a mix of relatable stories, leadership metaphors, and spiritually grounded reflections, you'll learn how to:<ul><li>Understand Identity: Secure your worth in who you are, not just what you do or what your business card says.</li><li>Lead Yourself: Master the disciplines of self-awareness and emotional intelligence.</li><li>Choose Positivity: Cultivate a resilient, solution-oriented mindset that shifts the energy of every room you enter.</li><li>Think Critically: Stop being a passive observer and start solving problems.</li><li>Reject Passivity: Take ownership of the ground you're standing on today.</li><li>Challenge Well: Influence the leaders above you with relational equity and wisdom.</li></ul>Whether you are a new hire, a middle manager, or an aspiring executive, this book is your daily reminder that your seat on the org chart doesn't define your impact. You have everything you need to start leading right where you are. Real influence starts here.

Daily Habits for Leading from Any Level

90 Days to Grow Your Influence

When an AI initiative dies, the machine takes the blame. It's almost always the wrong suspect. Every executive who has quietly shelved an AI project has the same explanation ready: the model underperformed, the vendor oversold, the technology "wasn't there yet." In Prevail: What Leaders Must Do Now That Machines Can't Manage, Dr. Tim Bottke argues that this story is a convenient way to avoid the real culprit - a chain of management decisions made long before anyone trained a model. The bug isn't in the technology. It's in us. Bottke turns two decades of decision data into a working diagnostic. PREVAIL starts at the ground floor, where leaders reach for the tool before they've named the problem, and moves up through data, experimentation, ownership, measurement, funding, and governance. The uncomfortable finding is that the damage concentrates on the ground floor and compounds as management builds on those decisions.&nbsp; Readers will discover: <ul> <li>Why AI initiatives fail and how to course correct before the budget is committed</li> <li>Chapter checklists that allow for a working audit</li> <li>Action lists for the operator fixing a rollout, the executive shaping a portfolio, and the board member or investor stress-testing a proposal</li> <li>The one question that predicts success better than anything: what problem does this solve?</li> <li>Composite case studies based on public filings that show each failure pattern in the wild, and the fix that would have caught it</li> <li>A shared vocabulary for boards, investors, and operators to pressure-test any AI proposal</li> <li>What the market actually does when companies admit an AI failure&nbsp;</li> </ul> &nbsp; Prevail is written for those who need something firmer than hype to judge what's in front of them.&nbsp;

What Leaders Must Do Because Machines Can't Manage

Prevail

Mastering Business Analytics

Data Analytics for Strategic Decisions explores how businesses can harness the power of data, technology, and analytics to make strategic decisions that drive growth and innovation. It provides a comprehensive guide to integrating business strategy with data-driven methodologies, offering practical tools and insights for modern organizations.Readers will gain a deep understanding of how to transform data into actionable insights, improving decision-making across marketing, finance, operations, and strategy. The book combines theoretical foundations with real-world applications, including case studies, datasets, and practical exercises. It also addresses emerging topics like AI, predictive analytics, and data governance, ensuring readers are equipped with cutting-edge knowledge and skills.This book is designed for undergraduate and master's students in Business Administration, Business Analytics, and Digital Transformation, as well as professionals seeking to enhance their data-driven decision-making capabilities. It is ideal for courses in Business Analytics, Data Analytics for Business, Business Intelligence, and Digital Transformation.The book includes supplementary materials such as datasets for practical exercises, case studies, and discussion questions, making it suitable for both classroom and online learning environments.

Fundamentals of Business Technology and AI Integration

Data Analytics for Strategic Decisions

Artificial Intelligence and the Rule of Law

This book offers a timely examination of AI regulation in the era of Industry 5.0, where innovation must be balanced with human well-being, sustainability, and responsible governance. It explores how artificial intelligence is transforming healthcare, environmental stewardship, corporate governance, digital commerce, and emerging technologies while creating new regulatory, ethical, and societal challenges. As AI increasingly influences critical decisions across healthcare systems, innovation ecosystems, educational institutions, and business environments, policymakers and practitioners face growing questions regarding accountability, transparency, safety, trust, privacy, and human rights. Addressing these concerns, this edited volume brings together leading scholars and experts to examine the evolving legal, ethical, and governance frameworks needed to support responsible AI adoption.The chapters cover a diverse range of contemporary topics, including AI-enabled drug discovery, healthcare decision-making, medical liability, patient rights, sustainability governance, climate and environmental regulation, AI in education, intellectual property and innovation, corporate governance, e-commerce regulation, cybersecurity, regulatory sandboxes, and explainable AI in high-risk sectors. Together, these contributions provide interdisciplinary perspectives on how AI can be developed and governed in ways that foster innovation while protecting societal interests.A central theme of the book is the Industry 5.0 vision of human-centric technological progress. The contributors highlight how effective regulation can promote trustworthy AI systems that support sustainable development, strengthen innovation, encourage responsible technological deployment, and create long-term value for society. By bridging law, policy, governance, healthcare, sustainability and technology studies, this volume offers valuable insights into the opportunities and challenges of AI-driven transformation. It provides a forward-looking resource for understanding how regulatory frameworks can enable innovation while ensuring that technological advancement remains ethical, inclusive, and sustainable.This book is intended for researchers, academics, policymakers, regulators, healthcare professionals, technology practitioners, industry leaders, graduate students, and readers interested in artificial intelligence, Industry 5.0, sustainability, healthcare innovation and emerging technologies.

Healthcare, Sustainability, Innovation and Emerging Technologies

AI Regulation in Industry 5.0

A guide to communicating professionally and authentically in today's workplace. Whether you are a leader, manager, or ambitious young professional, this book provides strategies you can use to communicate effectively and professionally without losing your own voice, command a room without dominating it, and inspire action without forcing it. Drawing on the author's experience teaching Business Communication courses and working for both international organizations and startups, you'll be equipped with proven techniques you can apply right away. Grounded in real-world examples, including how to write a persuasive email, how to navigate a difficult conversation with a colleague, how to craft an engaging virtual presentation, and how to effectively use AI as a support tool, Buxton covers all you need to know about written, spoken, and digital forms of communication.

Speaking and Writing with Professional Impact

Magnetic Communication

Platform Supply Chains in the AI Era

This open access book explores the network design and planning of platform-based supply chains in four chapters based on mathematical modeling, algorithm analysis, and numerical experiments. The main research methodologies in this book include mathematical modeling, linear programming, integer and combinatorial programming, and stochastic and robust optimization.&nbsp;What makes the book unique is the new insights into network design and planning for platform-based supply chains, which differ from those for traditional supply chains. This makes the subject in this book of significance, although there are abundant existing works on relevant topics for traditional supply chains. Another important feature of this book is the systematic perspective to unify network design in deterministic and uncertain settings for platform-based supply chains. By summarizing the new research results obtained from the implementation of a national project on platform-based supply chain, this provides a generalized scope on network design and planning for large-scale supply chains.

Network Design and Planning

Platform Supply Chains 3

This book provides the first in-depth scholarly analysis of fraud, the highest volume crime in England and Wales, addressing the challenges faced in building a principled criminal law response by presenting an innovative normative analysis. The UK is now in a pandemic of fraud. There were 4.6 million fraud offences recorded in the year ending March 2021, accounting for 42% of all crime committed against individuals. Fraud is now the highest volume crime in England and Wales; its incidence in the first half of 2021 was described by UK Finance as a 'national security threat'. The book provides the answers to key questions, such as: - How can the rapidly changing nature of fraud be understood and mapped by criminal lawyers? - How does fraud connect to economic crime more broadly? - Is the current landscape for criminalising fraud fit for purpose, in the light of changes to the nature and complexity of wrongdoing? - What are the principled limits to using Artificial Intelligence technologies to detect and to penalise fraud? - Which principles should inform fraud criminalisation and governance following the COVID-19 pandemic, to meet the challenges of a digital age and a stretched criminal justice system?

The Future of Criminalisation of Fraud in England and Wales

The Fraud Pandemic

Qizhen Humanities and Social Sciences Library

This seminal work establishes the digital rule of law as the fundamental trajectory for social governance and legal transformation in the digital era. Guided by the vision of "empowering the rule of law through digital technologies while anchoring digital development within legal frameworks," the Digital Law Research Team at Zhejiang University presents pioneering research in this book.

Practice and Reform

Digital Rule of Law

Das Herausgeberwerk bietet einen fundierten Überblick über die Herausforderungen und den Einfluss von Künstlicher Intelligenz auf den Arbeitsalltag im Jahr 2030. Die Expertinnen und Experten aus Forschung und Praxis erläutern in ihren Beiträgen anhand von konkreten Beispielen, Praxistipps und Handlungsempfehlungen, wie Unternehmen die neue Welle der Entwicklung von Künstlicher Intelligenz, vor allem im Bereich der generativen KI, für sich nutzen können und welche Auswirkungen dies auf die Arbeitswelt von morgen hat.Die 2., überarbeitete und erweiterte Auflage enthält viele neue Beiträge über den Einfluss Künstlicher Intelligenz auf die Arbeitswelt sowie über die KI-Auswirkungen auf ausgewählte Branchen.Der Inhalt<ul><li>Erfolgreiche KI-Einführung &amp; KI-Kompetenzen</li><li>Transformation durch KI</li><li>Rechtliche Aspekte von KI</li><li>Ethische Aspekte von KI</li><li>KI in der medizinischen und pharmazeutischen Arbeitswelt</li><li>KI in der Produktion</li><li>KI in der industriellen Arbeitswelt</li><li>KI in Versorgung, Mobilität und Logistik</li><li>KI in der wirtschaftlichen Arbeitswelt</li><li>KI in HR und Finance</li></ul>Die Herausgeber Dr. Inka Knappertsbusch
 ist Rechtsanwältin im Bereich Arbeitsrecht, KI und Beschäftigtendatenschutz. Der Schwerpunkt von Inka Knappertsbusch liegt auf der arbeitsrechtlichen Beratung im Rahmen von Restrukturierungen und Betriebsvereinbarungen, insbesondere zu IT, KI und New Work. Sie ist Autorin zahlreicher Fachartikel und Mitherausgeberin der Bücher "Die Zukunft der Arbeit" und "New Work und Arbeitsschutz".&nbsp;
 Kai Gondlach
 ist Geschäftsführer des PROFORE Zukunftsinstituts und studierter Soziologe, Politik-/Verwaltungswissenschaftler und Zukunftsforscher. Er forscht insbesondere in den drei Themengebieten Digitalisierung &amp; KI, Arbeitswelten &amp; Bildung sowie Klima &amp; Nachhaltigkeit. Die Ergebnisse fließen in seine Keynote-Vorträge, Bücher, seinen Podcast sowie seinen Blog ein.

Das Herausgeberwerk bietet einen fundierten Überblick über die Herausforderungen und den Einfluss von Künstlicher Intelligenz auf den Arbeitsalltag im Jahr 2030. Die Expertinnen und Experten aus Forschung und Praxis erläutern in ihren Beiträgen anhand von konkreten Beispielen, Praxistipps und Handlungsempfehlungen, wie Unternehmen die neue Welle der Entwicklung von Künstlicher Intelligenz, vor allem im Bereich der generativen KI, für sich nutzen können und welche Auswirkungen dies auf die Arbeitswelt von morgen hat.Die 2., überarbeitete und erweiterte Auflage enthält viele neue Beiträge über den Einfluss Künstlicher Intelligenz auf die Arbeitswelt sowie über die KI-Auswirkungen auf ausgewählte Branchen.

Why AI/Data Science Projects Fail

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