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Navarro R: Work Reimagined

Work Reimagined

The AI Era

Wiley Finance

The complete and practical guide to one of the hottest topics in quantitative finance Deep learning, that is, the use of deep neural networks, is now one of the hottest topics amongst quantitative analysts. Deep Learning in Quantitative Finance provides a comprehensive treatment of deep learning and describes a wide range of applications in mainstream quantitative finance. Inside, you'll find over ten chapters which apply deep learning to multiple use cases across quantitative finance. You'll also gain access to a companion site containing a set of Jupyter notebooks, developed by the author, that use Python to illustrate the examples in the text. Readers will be able to work through these examples directly. This book is a complete resource on how deep learning is used in quantitative finance applications. It introduces the basics of neural networks, including feedforward networks, optimization, and training, before proceeding to cover more advanced topics. You'll also learn about the most important software frameworks. The book then proceeds to cover the very latest deep learning research in quantitative finance, including approximating derivative values, volatility models, credit curve mapping, generating realistic market data, and hedging. The book concludes with a look at the potential for quantum deep learning and the broader implications deep learning has for quantitative finance and quantitative analysts. <ul> <li>Covers the basics of deep learning and neural networks, including feedforward networks, optimization and training, and regularization techniques</li> <li>Offers an understanding of more advanced topics like CNNs, RNNs, autoencoders, generative models including GANs and VAEs, and deep reinforcement learning</li> <li>Demonstrates deep learning application in quantitative finance through case studies and hands-on applications via the companion website</li> <li>Introduces the most important software frameworks for applying deep learning within finance</li></ul> This book is perfect for anyone engaged with quantitative finance who wants to get involved in a subject that is clearly going to be hugely influential for the future of finance.

Deep Learning in Quantitative Finance

A NEW YORK TIMES BESTSELLER 'Extraordinary... beautifully written, clear-eyed and engaged in the deepest ethical questions of our day' Rory Stewart 'Mallaby has done full justice to his kaleidoscopically interesting subject ... expertly structured and vividly reported, the book presents the most insightful portrait of Hassabis to date' Financial Times A revelatory portrait of the visionary behind Google DeepMind, the race to control the future - and what it means to win Even in a tech world crowded with visionary leaders, Demis Hassabis is recognized as a special case. Born to working class, immigrant parents in North London, a chess prodigy by five and wizard coder in his teens, he turned down a seven-figure job offer from a video-game studio to study science at Cambridge. Long before the current obsession with AI, he founded the path-breaking company DeepMind in order to pursue a single, audacious goal: the dream of artificial superintelligence, which would solve humanity's hardest problems, change life and work as we know it, and perhaps even unlock the deepest mysteries of the Universe. For his scientific achievements, he won a Nobel Prize in 2024, and his company, now Google DeepMind, is considered the tech giant's engine room. For the past three years, Sebastian Mallaby has had unprecedented access to Hassabis and DeepMind, conducting hundreds of hours of interviews with him and his inner circle as well as detractors and rivals at other companies. The result is a revelation-packed portrait of a singular mind and a historic reckoning with the AI revolution, a shift potentially more significant than any since the dawn of complex thought 70,000 years ago. As Mallaby chronicles, DeepMind is locked in an arms race with Silicon Valley competitors to build artificial general intelligence, and thereby become the keeper of humanity's future. Yet this is not a Silicon Valley story. Hassabis has remained in Britain, and unlike his rivals, his aims are not wealth and power but scientific enlightenment. Like them, however, he is haunted by the memory of Robert Oppenheimer, the creator of the atom bomb. He aims to control the technology, but the technology may ultimately control him - and humanity writ large.

Demis Hassabis, DeepMind and the Quest for Superintelligence

The Infinity Machine

SpringerBriefs in Service Science

Towards Trustworthy and Reliable Services Systems with New AI

Scenarios Engineering for Services Science

Artificial intelligence is rapidly transforming the insurance sector. This book explores how industry practitioners are already implementing AI and how its role will continue to develop. Covering foundational concepts, real-world use cases and strategic and regulatory considerations, it provides a comprehensive, practice-oriented perspective: How can an AI unit be established? What role does AI play in underwriting, brokerage, and back-office operations? And how is it transforming the customer experience?
Leading experts from across the entire spectrum of the industry share their insights. 

The book examines the gap between AI's theoretical potential and its practical implementation, presenting a structured overview of current use cases, opportunities, and risks. It offers a clear understanding of how AI is shaping the insurance industry today - and how it is set to transform it in the years to come.

Insider Perspectives on Opportunities, Risks, and Practical Applications of AI

Artificial Intelligence in the Insurance Industry

Mathematical Methods in the Digital Age

Data science, quantitative analysis, computer optimisation, and machine learning are all explored in this book. Insightful mathematical analysis of ML models is presented in this work. Various fields, including healthcare, banking, and e-commerce, are covered in this book through case studies. To choose features, hyperparameters, and models, the latter shows how optimisation can be implemented. Practical insights on the assessment and improvement of machine learning models in real-world situations, such as e-commerce, healthcare, banking, and agriculture, are included. Professionals in the fields of research, engineering, mathematics, and computer science are the target audience for this book. Through the integration of theoretical principles with&nbsp;practical applications, the usage of computational optimisation techniques in real-time settings is to be enhanced.&nbsp;

Data science, quantitative analysis, computer optimisation, and machine learning are all explored in this book. Insightful mathematical analysis of ML models is presented in this work. Various fields, including healthcare, banking, and e-commerce, are covered in this book through case studies. To choose features, hyperparameters, and models, the latter shows how optimisation can be implemented. Practical insights on the assessment and improvement of machine learning models in real-world situations, such as e-commerce, healthcare, banking, and agriculture, are included. Professionals in the fields of research, engineering, mathematics, and computer science are the target audience for this book. Through the integration of theoretical principles with&nbsp;practical applications, the usage of computational optimisation techniques in real-time settings is to be enhanced.&nbsp;

Machine Learning and Fuzzy Systems

Computational Optimization

An KI-Sprachmodellen wie ChatGPT, Gemini &amp; Co. führt heute kein Weg mehr vorbei. Dieser unverzichtbare Ratgeber liefert 77 alltagsnahe Fragen, geniale Prompts und sofort umsetzbare Bonus-Tipps und zeigt, wie sich das tägliche Leben zeitgemäß einfacher und produktiver gestalten lässt - ganz ohne Vorkenntnisse.Ob Reiseplanung, Lernen, kreative Ideenfindung oder schwierige Entscheidungen: Mit den richtigen Fragen, konkreten Praxisbeispielen, klaren Prompt-Anleitungen und den cleveren Bonus-Tipps lässt sich das Beste aus künstlicher Intelligenz herausholen. Ideal für alle, die praktische Unterstützung und frische Inspiration im Alltag ohne lange Theorie suchen.

Die unverzichtbare Prompt-Sammlung für einen entspannten Alltag
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 Du willst 
 ChatGPT, Gemini &amp; Co.
 im Alltag endlich clever nutzen? Henrik Grünhoff und Maik Lauterbach, bekannt als @henrikundmaik, liefern dir mit diesem 
 kompakten Ratgeber
 das perfekte Werkzeug, um alltägliche Herausforderungen müheloser, produktiver und kreativer zu gestalten – 
 auch ohne Vorkenntnisse!&nbsp;Das erwartet dich:
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 Klar strukturierte Prompts und Tipps,
 mit denen du sofort bessere KI-Ergebnisse erzielst
 
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 77 konkrete Anwendungsbeispiele aus allen Lebenslagen
 – direkt umsetzbar, ohne trockene Theorie
 
 ·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 
 Leicht verständliche Schritt-für-Schritt-Anleitungen
 – ideal für Einsteiger und Neugierige
 
 ·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 
 Geniale Bonus-Tipps für jedes Alltagsthema:
 so bekommst du noch bessere Ergebnisse
 
 ·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 
 Flexibel einsetzbar:
 Alle Prompts funktionieren mit ChatGPT, Gemini, Claude &amp; Co. – auch gratis
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 Hol dir jetzt 
 Clever gefragt, prompt gelöst
 und entdecke, wie ChatGPT &amp; Co. auch deinen Alltag revolutionieren können!
 Starte sofort und genieße mehr Kreativität, Zeit und Erfolg mit Künstlicher Intelligenz.

Wie du mit KI die richtigen Antworten findest, die wirklich helfen

Clever gefragt, prompt gelöst – die 77 besten Fragen an ChatGPT & Co

Recursions

A Media Theory of Machine Learning

Errant Intelligence

Routledge Studies in Innovation, Organizations and Technology

In an era where artificial intelligence is transforming industries, this book focuses on the pivotal role AI plays in talent acquisition and workforce engagement. It brings together insights from leading scholars to demonstrate how AI enhances recruitment processes, improves employee retention, and revolutionizes workforce management, ultimately reshaping the future of work.The book offers a comprehensive examination of how AI can be effectively leveraged to identify top talent, streamline hiring processes, and foster employee engagement through personalized experiences. International contributors offer both theoretical frameworks and practical applications of AI in recruitment and retention, illustrated with real-world examples, case studies, and cutting-edge research. From optimizing hiring strategies to engaging the workforce more effectively, this book provides actionable insights that bridge academic research and industry practices.Aimed at scholars and astute professionals, particularly in the fields of human resources, business management, and organizational development, this book is an essential guide for those who want to stay ahead in the rapidly evolving world of AI-driven workforce management. By understanding and implementing AI strategies, readers can enhance their organization's talent acquisition and retention capabilities, fostering a more dynamic and engaged workforce.

Enhancing Workforce Engagement

Talent Acquisition and AI

Rapidly transform your analytics teams to deliver AI-driven insights.

The AI-driven Data Team by Nicholas Kelly is a proven-to-work playbook for data and analytics leaders who want to align analytics capabilities with the demands of an AI-powered business environment. Written for leaders accountable for data, analytics and business intelligence, this book provides tools for diagnosing capability gaps among data analytics teams, modernizing legacy stacks and delivering AI-driven insights to help organizations make better decisions. 

You'll learn how to:
- Diagnose skills gaps and map AI-augmented career paths
- Integrate modern AI tools with existing analytics stacks
- Launch six revenue-driving and cost-focused pilots in 90 days
- Embed ISO and NIST-aligned governance without slowing innovation
- Apply ROI calculators, governance checklists and sprint planners

Drawing on expert insights and real-world applications, this book helps you upskill your analysts, strengthen AI governance and provide AI-driven insights that drive real results.

Themes include: AI strategy, data governance, analytics leadership, ROI from AI, organizational transformation, executive decision-making

Improve Your Analytics with AI

The Ai-Driven Data Team

A critical introduction to the psychiatric technologies of the future Artificial intelligence (AI) promises to transform nearly every area of modern life, and psychiatry is no exception. The field faces the mounting crisises in diagnostic inaccuracy, treatment stagnation, and persistent failures in suicide prevention, while traditional approaches struggle to keep pace with patient needs. AI and neuroscience offer a new path forward, pointing toward a future where mental health care is grounded in objective data, individualized predictions, and biologically informed treatments. Decoding Despair provides a cutting-edge look at these emerging scientific possibilities and the long-standing norms they may replace. Beginning with an examination of psychiatry's current challenges, it moves toward a present where AI-powered tools are beginning to reshape diagnostics, treatment selection, and drug development. The book offers readers a deeper understanding of mental health as both a scientific field and a lived human experience, while igniting an essential conversation about the transformative potential of precision psychiatry and technology. Decoding Despair readers will also find: <ul> <li>Exploration of the patient's journey from first symptoms to being prescribed medication</li> <li>Deep dive into the healthcare system and an understanding of the connections between stakeholders</li> <li>Clear explanations of how AI models work and how they can be practically applied to solving issues in mental health</li> <li>Deep introduction into the world of data and the different models of data acquisition necessary for building AI solutions</li> <li>Analysis of the potential innovations that could come first and the conditions necessary for them to occur</li> </ul> &nbsp; Decoding Despair is ideal for professionals and innovators building the future of psychiatry-as well as anyone seeking to understand their own mental health and the technological breakthroughs poised to reshape this critical field of care.

How AI is Reshaping Psychiatry

Decoding Despair

Contributions to Finance and Accounting

This edited book&nbsp;discusses the transformative impact of artificial intelligence on financial innovation. As new entrants flood various financial sectors with investments, they are reshaping the banking landscape and fostering a vibrant digital ecosystem.The evolution of finance, driven by artificial intelligence, offers a critical opportunity to balance financial stability, investor and consumer protection, and the promotion of innovation. In this dynamic environment, large international firms built on advanced digital telecommunications coexist with agile fintech startups. These innovative companies challenge traditional banking models, leveraging technology in ways that disrupt established institutions. While these shifts present exciting opportunities, they also carry significant risks.As we navigate this new era, it is crucial to assess, manage, and control risk-taking and the rise of fintechs. Without proper oversight, the very innovation that propels progress could lead to financial crises. Therefore, establishing robust prudential policies and regulatory frameworks is essential to safeguard financial stability.To thrive in this evolving landscape, financial professionals and accountants must embrace new technologies and stay attuned to their clients' changing needs. Although online tools and technologies are taking over more accounting functions, the expertise and ethical commitment of accountants remain irreplaceable. Guided by a professional order and a strong code of ethics, they possess the credibility needed to support managers effectively.In a rapidly changing business environment where digital technology permeates every aspect of operations, accountants are not just number crunchers; they are strategic partners, equipped to guide organizations towards success in this fast-paced digital age.

Innovation, Regulation, and Technological Developments

Generative AI in Finance and Law

This book responds to the need to distinguish human creations from those produced by AI. It does so by tracing human attributes of authorship and inventorship in statutory requirements for protection and ownership in European copyright and patent laws. Its main contribution lies in exposing shortcomings in how the laws are applied in the UK, Germany, and France. It shows that the human origin of creations is traditionally inferred from their expressive form or technical character. Given the advancements in AI, such inferences are no longer legitimate. What is more, these shortcomings may eventually lead to granting copyright or patent protection where none is lawfully permitted or sufficiently justified. To remedy the situation, this book offers doctrinal and conceptual amendments and proposes law reforms to implement them. This book guides authorities, practitioners, and students through the main arguments of the debate concerning copyright and patents for objects entirely or partly generated by AI. It also makes original contributions to advance the ongoing academic and policy debates on AI and intellectual property law.

Authorship and Inventorship Revisited

Copyright and Patent Laws for the Age of Artificial Intelligence

Work Reimagined

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