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Lessons from COVID-19

Impact on Healthcare Systems and Technology

Beginning with the strategic vision of the Intelligent Enterprise, the book traces SAP’s evolution from ERP to S/4HANA and into the era of Business AI. It explains key concepts of data as the fuel for AI, the reinvention of business processes, and the fundamentals of AI, machine learning, and agentic AI, helping readers connect the dots between technology, strategy, and real business value.From there, the book dives into SAP’s AI stack in detail, including the Business Technology Platform, embedded and side-by-side AI, SAP Joule, AI Core, AI Launchpad, and the Generative AI Hub.&nbsp;Practical use cases across finance, HR, supply chain, and industry-specific scenarios show AI in action, while beginner-friendly guides walk readers through setting up trial accounts, building no-code applications, and creating their first agentic AI workflows. The final section addresses responsible AI, governance, and the future of human-AI collaboration, equipping readers not only to start their journey but to build a sustainable and ethical AI practice within SAP landscapes.&nbsp;You Will:<ul><li>Understand the evolution of SAP and AI, and how they converge to shape the Intelligent Enterprise.</li><li>Explore the role of data as the foundation for AI, including SAP HANA, real-time analytics, and vector databases.</li><li>Gain a beginner-friendly foundation in AI, machine learning, generative AI, and agentic AI within the SAP ecosystem.</li></ul>&nbsp;

A Beginner’s Guide to Intelligent Processes, Generative AI, and Ethical Innovation

Reinventing Enterprise with SAP Business AI

Organizations in Context

From Ann Handley, Wall Street Journal bestselling author of Everybody Writes, comes a smart, timely, clear-eyed guide to knowing when to speed up, when to slow down, and when the shortcut costs more than it saves. You already know how to go fast. What nobody taught you is when not to. In ASAP: As SLOW As Possible, Ann Handley rebels against the false urgency baked into modern work and life—and shows you how to recognize Slowments: the moments when slowing down is not weakness, hesitation, or delay. It's the smarter move. Because when everyone has access to the same shortcuts, the real edge is knowing when not to take them. With research, brain science, vivid storytelling, and Handley’s signature wit, ASAP: As SLOW As Possible reveals the hidden speed traps that weaken our judgment, creativity, and original thinking—especially in an age when AI makes the fastest path feel like the smartest one—and gives you a practical way to know when speed is serving you and when it’s taking you farther from what matters. You'll discover: <ul><li>The Hasty Progress Illusion—why motion can feel like mastery, even when nothing lasting is taking hold</li><li>The ASAP Matrix—how to know exactly when to autopilot, when to pause, and when a moment deserves more of you</li><li>The six Slowments in life and in work—the pivotal moments when slowing down changes what happens next</li><li>How to protect your judgment in a world eager to outsource it</li><li>When choosing analog leads to sharper ideas, wiser decisions, more creative approaches, stronger relationships, and meaningful work</li><li>How to stop confusing speed with progress—and start choosing the pace the moment actually requires</li></ul> ASAP: As SLOW As Possible reveals slowness as a generative force and for the first time gives you a way to harness life’s most important slow moments. Not by doing less, opting out, or becoming the kind of person who ferments things in a shed. But by knowing when speed helps—and when it hollows out the very thing you hoped it would serve. It’s time to choose the long road when the shortcut costs too much.

When to Take the Long Road in a Shortcut World

ASAP: As Slow as Possible

Modern Trends In Financial Engineering

Multiscale Financial Data Analytics and Machine Learning offers a systematic and comprehensive study on the multiscale approach to financial data analytics and machine learning. This book covers an array of multiscale methods to discover the properties of various timescales embedded in a financial time series, including noise-assisted empirical mode decomposition methods. Important interpretable multiscale outputs from the estimation are recognized as a new set of features that can be used for machine learning. The feature selection problem for machine learning is examined in this volume.This book offers an applied quantitative approach that combines novel analytical methodologies and practical applications to a wide array of examples with real-world data. It is self-contained and organized in its presentation. The explanations of the methodologies are both accessible and detailed enough to capture the interest of the curious student or researcher. Step-by-step descriptions of the algorithms are provided for straightforward implementation.

Multiscale Financial Data Analytics And Machine Learning

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

Sustainable business is no longer optional--it's the strategy that will determine who leads and who gets left behind.Climate change is not just a future threat--it's a current reality, reshaping markets, supply chains, and entire industries. Rising temperatures, resource scarcity, and mounting waste are driving regulatory pressure, investor scrutiny, and consumer demand for sustainable practices. For business leaders, this isn't just an operational challenge--it's a strategic disruption. Companies that fail to adapt risk being swept aside by forces they can no longer ignore.In The Ultimate Disruption: Rethinking Business in a World Transformed by Climate Change, INSEAD professors Atalay Atasu and Luk Van Wassenhove provide an essential road map for thriving in this new era. Drawing on decades of research and real-world case studies, they show why sustainability must be treated as a core business imperative, not a compliance exercise or marketing slogan. The authors introduce a framework for rethinking strategy, redefining value propositions, and reinventing business models to integrate environmental value alongside customer utility and profit.Through compelling examples--from Polygreen's zero-waste transformation on a Greek island to Schneider Electric's global decarbonization initiatives--the book illustrates how companies are turning environmental constraints into opportunities for innovation and growth. Each chapter tackles critical steps: building the business case for sustainability; revisiting value potential; overcoming operational and scaling challenges; and leveraging partnerships, tech, and new business models to deliver shared value and profitability.Sustainability is no longer a cost--it's a competitive advantage. The Ultimate Disruption equips leaders with the strategies and tools to navigate the climate-driven transformation of business ecosystems and emerge stronger than ever.

Rethinking Business in a World Transformed by Climate Change

The Ultimate Disruption

Should we give up privacy to fight disease, for national security, or to help train AI systems? Recent crises, from the Covid-19 pandemic to the Russian invasion of Ukraine, from Gaza and Afghanistan to the seemingly unstoppable rise of AI, have put privacy under severe pressure. Privacy in Crisis argues the opposite: these crises show that privacy needs to be protected even more. Privacy in Crisis looks at vital current issues: at political manipulation and misinformation, government surveillance, racial tension, hybrid and cyberwarfare (and real wars, such as those in Ukraine and Gaza), the overwhelming power of the internet giants, and surveillance society, and how interference with privacy is key in all of them. It shows how specific crises bring many of these issues together in perfect storms of privacy invasion. The different threats to our privacy revealed by these crises tell parallel stories and are inextricably linked. There are common themes and common technologies - the threats involve the same data, the same profiling systems and the same approaches. In many cases the systems are run or owned by the same small set of companies, controlled by the same few people. Addressing them is difficult but possible - this essential book outlines how.

Law and Policy in Times of Extremism, Pandemics, and War

Privacy in Crisis

A dazzling exploration of the phenomenon of prediction betting markets that asks: what happens when democracy becomes another commodity? For many, Donald Trump's decisive election victory over Kamala Harris in 2024 was a shock. Traditional polls had the race on a razor's edge. But, for those with eyes on prediction betting markets, a very different story was being told. In recent years, prediction markets have swept the world, fundamentally changing the nature of the gambling market, and making their youthful pioneers billionaires. Posed as binary 'Yes/No' questions about future events, prediction bets allow any difference of opinion - whether on politics, wars, assassinations or popular culture - to be financialised. But are these markets really a new phenomenon? What does it mean when markets get closer to the truth than the institutions we built to protect us? And what happens when those tasked with safeguarding democracy possess financial stakes in its volatility? From Renaissance Rome, where merchants wagered on papal conclaves, through London coffee house gossip during the Napoleonic Wars, to the Pentagon's ill-fated terrorism futures exchange, The Big Bet describes the full five-hundred-year arc of a permissive regime which no one designed and no one voted for. Drawing on deep expertise, Michael Auerbach examines how these markets are changing our world, and what they mean for the future of our democratic self-governance. Because they are not an anomaly - they are the logical endpoint of a society that has applied market capitalism to every aspect of life. And in a world when everything is a wager and nothing is off limits, knowing where the chips will fall matters more than ever.

Prediction Markets and the Future of Democracy

The Big Bet

Law, Development, and Practice

Intellectual Property Debates in South Asia

Studies in National Governance and Emerging Technologies

This book examines how artificial intelligence systems and their applications in security and defence are entangled with governance and policy processes in the EU. Combining concepts and insights from (critical) security studies and science and technology studies, it argues that behind the various AI-related policy initiatives in the EU are particular narratives on security and defence based on European fears of technological innovation and strategic gaps. In this respect, the book casts light on how such beliefs have become increasingly instrumentalized in the European governance dynamics, and subsequently embedded in successive policy initiatives and security and defence research programmes. It challenges conventional understandings of AI technologies as mere security and defence-enabling instruments, by providing a conceptually driven analysis of how certain visions of AI help govern and control one of the most dynamic emergent socio-technical fields. The book will appeal to all those interested in artificial intelligence, security studies, technology and European governance.&nbsp;
 
 Raluca Csernatoni is a Research Fellow at Carnegie Europe, where she works on the nexus between European defence and emerging technologies. She is also Guest Professor at the Centre for Security, Diplomacy and Strategy (CSDS), Vrije Universiteit Brussel, Belgium, and Visiting Faculty in the Department of International Relations, Central European University, Austria.

Artificial Security and the Politics of Hype in the EU

Lessons from COVID-19

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