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Gesamtkatalog

Catalogue complet

Improving Entrepreneurial Processes
Through Advanced AI

Improving Entrepreneurial Processes Through Advanced AI

How the rise of AI agents--and other forms of autonomous intelligence--will transform every aspect of how companies create value and compete.Companies have long operated with a basic assumption: intelligence is scarce. Talent is limited, expertise is expensive, and good judgment is hard to scale. But that world is ending.AI agents are bringing a new form of labor into the enterprise--one that can work autonomously, learn continuously, and scale instantly. Their embodied counterparts, from drones to humanoid robots, are doing the same in the physical world. Together, these systems are introducing a new economic reality: cognition is becoming cheap, elastic, and abundant.In Abundant Intelligence, Deloitte's Nitin Mittal and futurist Mike Walsh show what happens when intelligence becomes cheap and widely available. Drawing on inside access to the people leading AI transformations at the world's most powerful companies, they uncover how this shift is challenging every assumption about strategy, productivity, and leadership, and what organizations must do now to stay ahead.As abundance becomes the new normal, the leader's job shifts from collecting intelligence to directing it. Those who learn to harness this expanding workforce of digital labor will unlock new levels of speed, creativity, and advantage. For everyone else, the gap will widen fast.

How Digital Labor Will Rewrite the Rules of Business

Abundant Intelligence

Chapman & Hall/Distributed Computing and Intelligent Data Analytics Series

This book explores the transformative potential of artificial intelligence (AI) and data engineering in shaping the future of smart cities. With the rapid growth of urbanisation, cities are facing complex challenges such as efficient resource management, urban mobility, environmental sustainability, and citizen well-being. It offers authoritative insights and perspectives brought together by leading experts to delve into the latest advancements and applications of AI and data engineering in addressing urban challenges.¿ Includes practical insights, case studies and real-world examples of how AI and data engineering are being applied in smart city initiatives¿ Presents the role of AI in enhancing urban infrastructure, optimizing energy consumption, enabling intelligent transportation systems, and empowering citizen participation.¿ Showcases how AI and data engineering can revolutionise urban landscapes and pave the way for sustainable and intelligent cities¿ Discusses the ethical and privacy concerns related to the use of these technologies in cities, highlighting the importance of responsible and sustainable development.¿ Presents an interdisciplinary approach, exploring the intersection of AI and data engineering with fields such as urban planning, transportation, energy and health.The book is primarily aimed at researchers, practitioners, and students in the fields of computer science, engineering and urban planning. It is also relevant to policymakers, government officials, and other professionals involved in the development and implementation of smart city solutions.

AI and Data Engineering for Smart Cities

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

This book provides a state-of-the art picture of the transformation of the global legal market. The traditional business model of law firms has been upended by new forms of organisation, often (but not exclusively) brought about by technological innovation and the use of technology for the execution of legal activities, which implies the so-called 'servitisation' of the legal market. Such trends raise a broad range of questions of both practical and academic nature, which the book tackles extensively, relying on the competence of a remarkable group of experts, coming from different professional backgrounds and knowledgeable of many different jurisdictions, from Europe to the USA, from Asia to Australia. In particular, the book has three main focuses: 1) a law and economics analysis of today's legal market, combined with a description of how regulatory changes have had an impact on competition in the legal services business, and on the evolution of this industry; 2) a thorough investigation of the impact of technological disruptions on the legal services industry, considering how legal tech companies and artificial intelligence solutions are reshaping the activities of legal professionals and the legal market more broadly; 3) a survey of the "new lawyers" and other new legal professionals, along with a reflection on the reforms needed to align their education with market needs. The book caters to all those interested, professionally or academically, in keeping track of the evolution of the legal services market. Practising lawyers who want to be "future-proof", law students, new specialised legal professionals active in the business and financial sectors, scholars and other researchers (both lawyers and economists) conducting research in the field, as well as anyone engaged in providing legal education, will find in this book extremely valuable insights on current trends and future developments in the legal market.

How Innovation, Legal Tech and AI Have Been Reshaping the Legal Market

Future-Proof Legal Services

This book is a must-read for any aspiring IP lawyer... it is a useful manual with accurate and current information, as and when you need it - The Law Society Gazette Provides up-to-date coverage and analysis of the intellectual property laws applicable to all forms of computer software, placing the law in the context of computer use, examining copyright, database rights, patents, trade marks, design rights and the law of confidence. Updates to the 8th edition include: - a new chapter on Intellectual Property and AI - a number of cases on FRAND licensing in relation to telecommunications standards technologies, including Unwired Planet v Huawei - the effects of Brexit on intellectual property regulations - developments in the EU, US and other jurisdictions Information Technology and Intellectual Property Law can either be read from cover to cover as a thorough introduction to the subjects addressed or be used as a very useful starting point for a specialist practitioner faced with a particular problem on a particular case. With this in mind, this book is an essential addition to any IT and IP practitioner's bookshelf, as well as a useful textbook for non-specialists, advanced undergraduates and taught in postgraduate IT and IP courses. This title is also available as part of Bloomsbury Professional's IP &amp; IT online service.

Bainbridge on Information Technology and Intellectual Property Law

Platform Supply Chains in the AI Era

Risk Management

Platform Supply Chains 5

Shaping an Inclusive, Green Transformation in the Digital Age

Energy Transition and Digital Transformation in the Arab Region

This is the updated and expanded edition of the only radical, multidisciplinary, international introduction to intellectual property in its socio-economic contexts. Bringing together voices from law, sociology, economics, political science, and cultural studies from across the Global North and Global South, experts and activists Mat Callahan and Jim Rogers offer a detailed history and analysis of IP before asking critical questions designed to underscore its importance in the broader struggle between capital and the commons. What are the broader implications of IP, whether for agribusiness, pharmaceuticals, education, or entertainment? Is IP law a fundamental pillar of our culture, or has it been used to protect and assert the ownership of, and thus limit, the spread of ideas and creativity? With a chapter structure moving from historical and theoretical foundations to industry-specific conflicts and policy analysis, this book covers the breadth and depth of IP areas, including patents, copyrights, trademarks, and trade secrets, as well as emerging issues such as digital rights and biotechnology. Key features include: - voluminous, up-to-date case studies, both Western and non-Western; - an extensive, jargon-busting list of abbreviations of specialized or technical terms; - a new chapter on copyright and socialism; - revisions and updates accounting for the seismic impacts of artificial intelligence. This is a foundational must-read for all researchers, students, and activists interested in critical analyses of IP laws and policies--not just their legal frameworks, but also their broader social, economic, and political implications.

A Radical Guide to the Past, Present, and Future of the Ownership of Ideas

Rethinking Intellectual Property

AI and Constitutional Law in Europe

Democracy in the Age of Disinformation

The Art Law Library

This open access book investigates the role played by copyright on the digitisation of cultural heritage from three angles: the theoretical differences between cultural property law and copyright; a comparative analysis of the EU, UK, and US; and analysis of current practices and concerns, based on empirical research. As heritage digitisation projects become increasingly common for purposes such as preservation and access, the impact of copyright is also becoming more problematic. In order to provide a full and current picture of the copyright problem, the book first introduces the reader to the debates on the scope and ownership of cultural heritage and provides an overview of the copyright implications of the digitisation process and newer uses, including 2D and 3D scanning; virtual and augmented reality; text and data mining; and artificial intelligence. The author then divides the main critical analysis into three parts, referred to as the 'clashes with copyright'. The first, clash in theory, lies between cultural property law and copyright justification theories. The second clash is in the different legal approaches to digitising in-copyright, public domain, orphan, out-of-commerce and unpublished works in the chosen jurisdictions, focusing on the relevant rights and defences. The third clash is in the interests of stakeholders, based on public reactions to existing projects and cases, supported by interviews with heritage professionals engaging in digitisation. By placing itself in this particular intersection of law, heritage, and technology, the book will be of interest to both intellectual property academics and cultural heritage professionals. The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com.

Clashes with Copyright Law

Digitising Cultural Heritage

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

Improving Entrepreneurial Processes Through Advanced AI

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