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Prepare yourself, as a manager, and your company for success in the AI powered world of tomorrow. What do you, as a CEO, need to do today to be prepared for the future AI powered world? How can you lead your company into AI powered world of tomorrow? Darko Butina guides you through basics of AI powered world of tomorrow and shows you how your role as a CEO will change in the future. Additionally, Darko introduces you to Compleximplicity, the strategy framework for succeeding in AI powered world. After reading this book you will: - Understand what managers do - Get to know basic principles of AI - Learn how to lead companies in AI world of tomorrow - Know how to successfully implement Compleximplicity strategy for your company - Understand how the future AI powered company could look like Who is the book for? - All CEOs - Anybody interested in the future development of management - Non-technical people interested in better understanding the far-reaching influence of AI - Technical people eager to learn how AI can influence managing and leading companies - Anybody aspiring to become a manager, leader or a CEO in the future
Bereiten Sie sich als Manager und bereiten Sie auch Ihr Unternehmen auf den Erfolg in der KI-getriebenen Welt von morgen vor. Was müssen Sie als CEO heute tun, um auf die KI-getriebene Welt von morgen vorbereitet zu sein? Wie können Sie Ihr Unternehmen in die KI-getriebene Welt von morgen führen? Darko Butina führt Sie durch die Grundlagen der KI-getriebenen Welt von morgen und zeigt Ihnen, wie sich Ihre Rolle als CEO und Geschäftsführer in Zukunft verändern wird. Darüber hinaus führt Darko Butina Sie in Compleximplicity ein, das Strategieframework für den Erfolg in der KI-getriebenen Welt. Was bekommen Sie mit diesem Buch? - Verstehen, was Geschäftsführer tun - Lernen Sie die Gr...
An introduction to the subject, aimed primarily at synthetic chemists, which explains how to identify a drug candidate from an initial lead compound that possesses the properties required for successful development. The main aim of the text is to address the quality of interpretations.
Today’s ever-evolving workplace requires managers to hone new skills so they can make informed decisions, manage diverse teams, and lead change. Management Today: Best Practices for the Modern Workplace cuts through the noise by introducing students to evidence-based management theories, models, and strategies. Experiential activities, critical thinking questions, and self-assessments provide students with hands-on opportunities to practice essential management skills. Authors Terri A. Scandura and Kim Gower provide best practices and explore timely issues like emotional intelligence, cultural intelligence, and virtual teams. Real-world cases explore good and bad examples of management, including the college admissions scandal, Theranos, and Walmart. In-depth coverage of big data, data analytics, and technology ensures students are ready to thrive in today′s workplace. This title is accompanied by a complete teaching and learning package.
Hardbound. New legislation enacted in many countries and regions of the world during the 1980s requires that laboratory animal use be reduced, refined and replaced wherever possible, for ethical and scientific reasons, in line with the Three Rs concept put forward by W.M.S. Russell and R.L. Bnurch in 1958, in The Principles of Humane Experimental Technique. This Congress provided an opportunity for a celebration of the 40th anniversary of the publication of this book, and for a coming together of many of those who are actively pursuing the implementation of the Three Rs in the interests of good science and humane science.Current uses and future prospects for the use of laboratory animal procedures and non-animal methods in the biomedical sciences are considered in five themes: the development of replacement alternative methods; the validation and regulatory acceptance of alternative test methods; reduction alternatives and the testi
This volume provides protocols for computational, statistical, and machine learning methods that are mainly applied to the study of metabolic engineering, synthetic biology, and disease applications. These techniques support the latest progress in cross-disciplinary research that integrates the different scales of biological complexity. The topics covered in this book are geared toward researchers with a background in engineering, computational analytical, and modeling experience and cover a broad range of topics in computational and machine learning approaches. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Comprehensive and practical, Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology is a valuable resource for any researcher or scientist who wants to learn more about the latest computational methods and how they are applied toward the understanding and prediction of complex biology.