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Justyna Anna Grecko

Einsatz von Artificial Intelligence zur Bekämpfung der Geldwäsche in Kreditinstituten

Qualitative Analyse und Betrachtung

Leveraging Data Science and Machine Learning

Predictive Intelligence for Transforming Healthcare Insurance

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

Corporate Governance in the Age of Artificial Intelligence

Energy Transition and Digital Transformation in the Arab Region: Shaping an Inclusive, Green Transformation in the Digital Age addresses one of the most pressing challenges of our time: how Arab economies can simultaneously accelerate the energy transition, embrace digital transformation, and ensure affordability and inclusion. Historically reliant on hydrocarbons, the region now faces structural vulnerabilities, climate risks, and social inequalities. This reference provides a coherent framework to support policymakers, researchers, and practitioners in navigating these interconnected imperatives. The volume is structured into four sections. The first establishes foundations of energy transition and digital transformation, including affordability, policy landscapes, and SDG alignment. The second examines technological innovation, with chapters on artificial intelligence, smart grids, cybersecurity, digital twins, and circular economy models. The third section explores economic diversification and social impacts, covering labor markets, green jobs, gender and youth inclusion, and climate resilience. The final section addresses strategies, investments, and governance, including financing models, institutional reform, and regional cooperation, culminating in a roadmap for an inclusive and digitally enabled energy future. Energy Transition and Digital Transformation in the Arab Region benefits its audience by combining interdisciplinary insights with region-specific case studies and policy recommendations. It equips policymakers with frameworks for equitable energy reforms, guides practitioners in deploying emerging technologies for efficiency and resilience, and provides academics and students with original research and thematic synthesis. By aligning with the UN Sustainable Development Goals, this book is a strategic tool for advancing sustainable, inclusive, and competitive futures across Arab economies.

Shaping an Inclusive, Green Transformation in the Digital Age

Energy Transition and Digital Transformation in the Arab Region

Artificial intelligence has crossed the liability Rubicon. It is no longer a backend IT experiment governed by soft ethics, voluntary frameworks, and vague policy statements; it is a material financial asset driving enterprise revenue and unprecedented legal exposure. As we transition into Industry 5.0, algorithms are making autonomous, consequential decisions at machine speed. Yet, corporate boards and risk committees are attempting to govern these gigahertz systems using static compliance checklists designed for a slower, simpler era. The result is a looming crisis of algorithmic discrimination, regulatory friction, and catastrophic reputational decay. When an opaque, black-box model hallucinates financial advice or leaks proprietary trade secrets, the ensuing failure cascade can destroy billions in market capitalization overnight.AI Governance and Risk Management provides the definitive, boardroom-ready blueprint for surviving the fragmented global regulatory dragnet. This book dismantles the illusion of traditional "Human-in-the-Loop" oversight, proving that true algorithmic safety requires hard, architectural constraints. Drawing on decades of technology operations and academic leadership, the text translates classical financial auditing principles into executable machine logic. The author brings unparalleled practical experience-from supporting six Silicon Valley startups in client-facing roles to develop computer vision use cases, to leading over 30 continuous improvement projects for Cisco Systems. Having authored foundational texts on Segregation of Duties (SOD) and Hierarchical SOD two decades ago, and backed by 15 years of teaching financial risk management, this expertise culminates in the AI Integrity Framework (AIIF). This Hamiltonian approach empowers organizations to embed continuous improvement cycles and strict SOD directly into their deployment pipelines.Readers will discover how to engineer automated "Build Breaks," architect deterministic kill switches, and secure the unstructured data supply chain against copyright contamination and intellectual property theft. By shifting from reactive public relations to proactive "Governance as Code," Chief Risk Officers, legal counsel, and audit committees can mathematically prove fiduciary control to regulators across overlapping jurisdictions, from California to the European Union.Authored by a veteran industry practitioner, creator of five previous Wiley &amp; Sons texts, and current developer of the Industry 5.0 and AI curriculum at Santa Clara University, this release is not a theoretical ethics manual. It is an uncompromising operational survival guide. It provides the exact structural tools necessary to transform artificial intelligence from an unquantified off-balance-sheet liability into a fully auditable, legally defensible, and highly profitable enterprise asset.

The AI Integrity Framework (AIIF) for Enterprise Control and Regulatory Compliance

Auditable AI Governance and Risk Management

Das moderne Recht wirft viele grundsätzliche Fragen auf: Ist Recht mit Gerechtigkeit notwendig verbunden? Was ist überhaupt Recht und was Gerechtigkeit? Wie verhalten sich Recht und Moral zueinander? Warum und unter welchen Bedingungen ist Recht verbindlich?
Diesen und zahlreichen anderen Fragen zu Recht, Ethik und ihrer Bedeutung für Staat und Gesellschaft geht Mahlmann in seinem Lehrbuch anhand von vielen Beispielen nach - von der Folter über die neuen Herausforderungen Künstlicher Intelligenz für das Recht bis hin zu Perspektiven einer internationalen Friedensordnung in einer Epoche neuer Kriege. Dabei schlägt er einen Bogen von der Antike bis in die Gegenwart und entwickelt vor diesem historischen Hintergrund Antworten auf zentrale systematische Fragen der Rechtsphilosophie und Rechtstheorie.

Das moderne Recht wirft viele grundsätzliche Fragen auf: Ist Recht mit Gerechtigkeit notwendig verbunden? Was ist überhaupt Recht und was Gerechtigkeit? Wie verhalten sich Recht und Moral zueinander? Warum und unter welchen Bedingungen ist Recht verbindlich?
Diesen und zahlreichen anderen Fragen zu Recht, Ethik und ihrer Bedeutung für Staat und Gesellschaft geht Mahlmann in seinem Lehrbuch anhand von vielen Beispielen nach – von der Folter über die neuen Herausforderungen Künstlicher Intelligenz für das Recht bis hin zu Perspektiven einer internationalen Friedensordnung in einer Epoche neuer Kriege. Dabei schlägt er einen Bogen von der Antike bis in die Gegenwart und entwickelt vor diesem historischen Hintergrund Antworten auf zentrale systematische Fragen der Rechtsphilosophie und Rechtstheorie.

Rechtsphilosophie und Rechtstheorie

Chapman & Hall/CRC Texts in Statistical Science

From Alan Turing breaking the Enigma code to ChatGPT reshaping how we work and create, artificial intelligence has always been powered by a single unifying principle: learning from data under uncertainty. This book reveals the mathematical machinery behind modern AI, weaving together Bayesian probability, statistical learning, and deep neural networks into a coherent intellectual framework. Whether you seek to understand why large language models hallucinate, how recommendation systems predict your preferences, or what makes reinforcement learning agents master complex games, this book equips you with both the theoretical foundations and practical intuitions that define the modern AI playbook.Key Features:<ul> <li>Builds Bayesian reasoning from first principles through historical examples like submarine search and WWII code-breaking</li> <li>Bridges classical statistics and deep learning, connecting linear regression to transformers</li> <li>Covers the complete AI stack: probability, decision theory, Gaussian processes, neural networks, CNNs, NLP, and LLMs</li> <li>Emphasizes uncertainty quantification-building systems that know what they don't know</li> <li>Practical applications across finance, healthcare, operations, and autonomous systems</li> <li>Emerging topics: AI agents, RLHF, and retrieval-augmented generation</li> </ul>Written for graduate students, data scientists, and quantitatively-minded practitioners, this book assumes comfort with calculus and basic probability while building sophisticated intuitions progressively. Business analysts will appreciate the decision-theoretic framing; engineers will value the architectural insights; researchers will find rigorous foundations for further study. Whether used as a course textbook, professional reference, or intellectual companion for understanding the AI revolution transforming every industry, this book delivers the rare combination of mathematical depth and accessible exposition that makes complex ideas genuinely understandable.

Foundations of Data Science

Bayes, AI, and Deep Learning

Turn AI investment into scalable business impact by enabling your workforce to build the solutions they actually need. From AI Users to Solution Builders is a strategic guide for senior AI, technology, and transformation leaders who want to move beyond underperforming, centralized AI initiatives, and unlock real enterprise value. As organizations struggle to translate AI into measurable results, this book shows how shifting from top-down deployment to workforce-led solution building creates faster adoption, stronger ROI, and sustained innovation. Written by experienced AI leader Wei Manfredi, this book combines strategic insight with practical execution. It draws clear parallels between failed digital transformation efforts and current AI adoption challenges, while demonstrating how natural language interfaces are reshaping access to AI. By enabling non-technical professionals to design their own tools, organizations can embed AI directly into workflows, decision-making, and daily operations. You'll learn how to: - Shift from centralized AI models to workforce-driven innovation - Enable employees to build AI solutions for real workflows - Design scalable infrastructure for AI solution development - Apply change management to overcome resistance and drive adoption &gt;Featuring real-world examples from organizations including Lululemon, Google, Oracle, and JPMorgan Chase, this book provides a proven framework for embedding AI into everyday collaboration, accelerating innovation, and future-proofing your organization's competitive advantage. Themes include: AI strategy, AI adoption, workforce transformation, AI governance, enterprise AI, change management

Scaling AI Across Your Organization

From AI Users to Solution Builders

Artificial Intelligence and the Transformation of Organizations

Algorithmic Management

Law and Practical Reason

Moral Responsibility and Artificial Intelligence

Contributions to Economics

Pasquale L. Scandizzo holds a Ph.D. from the University of California, Berkeley. He is Professor of Political Economy, past Director and Fellow of the Center for Economic and International Studies, Senior Fellow and Member of the Advisory Board of the University of Rome “Tor Vergata” Foundation, President of the Villa Mondragone Economic Development Association, President Emeritus of the Italian Society of Development Economics, and Chairman of OpenEconomics International, a university spin off focusing on project evaluation and economic development. His former institutional positions include the Governing Board of the Italian Institute of Statistics, the Italian Institute for Economic Planning (President), the National Planning Board, the Italian Parliamentary Budget Committee (Senior Adviser), the Ministry of Economics and Finance (Economic Adviser) the World Bank (Senior Economist and Research Coordinator). He has developed widely published methodologies to evaluate public investment programs, by combining option theory, cost benefit analysis and computable general equilibrium methods, and
 
 has been advising the World Bank and other multilateral institutions on the applications of these methodologies to policies of sustainable development.

This study explores the transformative potential of Artificial Intelligence (AI) in the tourism sector, emphasizing its role in enhancing service quality, operational efficiency, and global reach. To assess future impacts, the study uses a Social Accounting Matrix (SAM) and a Computable General Equilibrium (CGE) model built on GTAP 11 data. A scenario analyzing €66 billion in AI-tourism investments across G7 and other nations suggests strong short-term returns, particularly for capital and skilled labor, with the U.S. leading due to favorable infrastructure and market conditions. These findings point to the need for skill development and equitable policy design. AI’s capacity to personalize experiences and optimize operations positions it as a key driver of sustainable growth in tourism, with considerable economic spillovers and transformative potential across global markets.

Einsatz von Artificial Intelligence zur Bekämpfung der Geldwäsche in Kreditinstituten

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