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Gesamtkatalog

Catalogue complet

University Incubators and Their Role in
the Entrepreneurial Ecosystem

University Incubators and Their Role in the Entrepreneurial Ecosystem

Models and Advanced Quantitative Techniques for Product Pricing

Pricing Analytics

Routledge Studies in Accounting

In an era where sustainability shapes the global agenda, The Evolution of Sustainability Accounting Education contributes to our understanding of the role of accounting as a social practice rooted in public interest. This timely volume explores the urgent need to integrate sustainability into accounting curricula, addressing the social, economic, and environmental imperatives driving this transformation. From mapping the academic landscape of sustainability accounting to examining its impact on public sector accountability and corporate governance, this book offers cutting-edge research and practical insights from leading experts. It addresses innovative pedagogical approaches, such as experiential learning and mobile learning, to prepare future accountants for the complexities of a sustainability-driven world.Aimed at academics, students, researchers, and professionals, this book serves as an essential resource for those committed to advancing sustainability in accounting education. By highlighting real-world case studies, such as the FTX collapse, and exploring ESG frameworks, it underscores the critical intersection of ethics, accountability, and sustainability. The Evolution of Sustainability Accounting Education is not just a call to action; it is a wake-up call to reimagine accounting education and foster a more equitable and sustainable future.

The Evolution of Sustainability Accounting Education

Intelligent Control and Learning Systems

This book provides a new perspective on omics data modelling and analysis in bioinformatics area. Taking into consideration on the high-dimensionality and nonlinearity properties in omics data, the book detangles nonlinearity of data through novel perspectives of matrix optimization. Through integration of machine learning frameworks, various novel techniques are proposed to deal with the complexity of omics data analysis. Intuitive examples and illustrations are provided to help readers for understanding the key idea and general procedures in omics data analysis. This book is intended for academic scholars and practitioners who are interested in learning, computational biology, optimization and related fields. The graduate students in the above field can also benefit from this book.

Theory and Applications

Kernel Methods for Omics Data Mining

Artificial Intelligence, Machine Learning, Data Analytics and Automation for Business Management

In providing an in-depth exploration of cutting-edge technologies and how they are used to support data-driven marketing strategies and empower organizations to make the right decisions, Predictive Analytics and Generative AI for Data-Driven Marketing Strategies includes real-world case studies and examples from diverse marketing domains. This book demonstrates how predictive analytics and generative AI have been successfully applied to solve marketing challenges and drive tangible results. This book showcases emerging trends in predictive analytics and generative AI for marketing, and their potential impact on the future of data-driven marketing. This book is meant for professionals and scholars to gather the skills and resources to use predictive analytics and generative AI effectively for marketing strategies.This book: ¿ Examines the different predictive analytics models and algorithms, such as regression analysis, decision trees, and neural networks, and demonstrates how they may be utilized to get insightful conclusions from marketing data.¿ Includes generative AI techniques, such as generative adversarial networks (GANs) and variational autoencoders (VAEs), showcasing how these techniques can generate synthetic data for marketing insights and decision-making.¿ Highlights the importance of data-driven marketing choices and illustrates how generative AI and predictive analytics may be quite useful in this context.¿ Integrates the principles of data science with marketing concepts, offering a cohesive understanding of how predictive analytics and generative AI can power data-driven marketing decisions.¿ Presents the recent advances in predictive analytics and generative AI and discusses how they can affect the area of data-driven marketing.

Predictive Analytics and Generative AI for Data-Driven Marketing Strategies

The Only Skill the Age of AI Cannot Replace

CURIOUS

Springer Proceedings in Business and Economics

Proceedings of GFIC – CIKI – ICKM 2025

Shaping the Future of Data, Knowledge and Innovation with AI for Global Sustainable Change - Volume 2

Puzzle Challenge

Can you crack a logic puzzle in under a minute? 60 Second Logic Challenge turns brain teasers into a high-speed mental workout, where every second counts. &nbsp; Designed for puzzle lovers who thrive under pressure, this book combines the thrill of racing the clock with the satisfaction of solving clever challenges.&nbsp; You can start with easy puzzles and work your way up to expert level, while monitoring your improvements and pushing for personal bests with time-tracking charts. &nbsp; Puzzle types include:&nbsp;<ul><li>Happy Campers: place tents next to trees without breaking adjacency rules.&nbsp;</li><li>Signposts: navigate grids by following directional clues in sequence.&nbsp;</li><li>Islands: connect islands with bridges to form one network.&nbsp;</li><li>Numberclang: combine numbers using math operations to hit a target.&nbsp;</li><li>Dominoes: reconstruct hidden domino layouts from number clues.&nbsp;</li><li>Greater Than: fill grids with ordered numbers obeying chevron signs.&nbsp;</li><li>. . . and many more!&nbsp;</li></ul> Whether you’re a seasoned puzzler or a curious beginner, this book offers a fun, fast-paced way to sharpen reasoning skills, boost memory, and enjoy the thrill of beating the clock. Perfect for solo play or friendly competition.

60 Second Logic Challenge: Volume 12

A wide-ranging analysis of how the material limits to discrete, silicon-based computing power impact employment and automation. Since the end of the Second World War, we have come to expect continual growth in computing power and the rapid development of digital technology. This dynamic has enabled informational procedures to supplant an ever-increasing range of human and mechanical activity. However, indications that the semiconductor industry is approaching the physical limits of integrated circuitry pose an existential challenge to Intel Corporation cofounder Gordon Moore’s “law,” which prescribes an exponential increase in microchip density—and, by extension, processing performance—every two years. Placing theories of employment in dialectical conjunction with the concrete operations of computing, 100% Utilization explores the consequences of pushing processing power to its limits for a culture seemingly reliant on automation as much as human labor. In accounting for this contradiction, Andrew Lison offers a corrective to theories of digital mediation emphasizing its symbolic and representational capabilities. He connects the looming end of Moore’s law to trends in semiconductor manufacturing, custom hardware, and parallelized software techniques, including AI. Ultimately, he traces this historical technological boom and impending bust through the racialized history of Silicon Valley to longer-term conceptions of the relationship between machinery and labor.

Computation and Labor After Moore's Law

100% Utilization

Legal Data, Digital Assets and Smart Contracts for Capital Markets

From Data to Decision

Business Analytics

A NEW SCIENTIST BEST NEW SCIENCE BOOK MAY 2026 'This view from the other side of the search box is both charming and insightful, tapping into a deep well of curiosity.' Tim Harford, author of How to Make the World Add Up Ever wondered what goes through other people's minds - our silly questions, inner anxieties, hopes and dreams? In this hopeful and insightful book, Google Data Editor Simon Rogers explores insights from the world's biggest dataset: an epic snapshot, two decades long and counting, of our collective brain. What it reveals about us might surprise you.<ul><li>In June the UK sees a spike in searches for 'how to help a bee'</li><li>London is the top place on earth searching for 'tell the time drunk'</li><li>Around the world, it's 2am when parents want to know how to get their baby to sleep</li><li>Searches for 'how to help' are at an all-time high</li></ul> Brimming with insights that vary from the playful to the profound, What We Ask Google delves into the momentous and the mundane secrets of what we ask when we get the chance to ask anything, offering a surprisingly hopeful picture of humankind. 'In a time when the news is so relentlessly gloomy, this book provides a ray of hope.' Daily Mail 'Deserves a place on any bathroom bookshelf' Guardian

A surprisingly hopeful picture of humankind

What We Ask Google

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

University Incubators and Their Role in the Entrepreneurial Ecosystem

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