Simone Gressel – författare

Both accessible and concise, this text examines data analytics, big data and AI from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The second edition of this book has been fully revised and updated, including more content on AI throughout and more case studies from industry. Chapters look at emerging technologies and the ethical, security, privacy and legal aspects of data-driven decision-making. Key updates include content on: - How will AI impact management - AI and automation- Emerging technologies including GenAI - How AI may augment, change and replace human decision-making.- Ethical AI decision-making and responsible AISuitable for management students studying business analytics and decision-making or business and artificial intelligence at undergraduate, postgraduate and MBA levels. 

Both accessible and concise, this text examines data analytics, big data and AI from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The second edition of this book has been fully revised and updated, including more content on AI throughout and more case studies from industry. Chapters look at emerging technologies and the ethical, security, privacy and legal aspects of data-driven decision-making. Key updates include content on: - How will AI impact management - AI and automation- Emerging technologies including GenAI - How AI may augment, change and replace human decision-making.- Ethical AI decision-making and responsible AISuitable for management students studying business analytics and decision-making or business and artificial intelligence at undergraduate, postgraduate and MBA levels. 

Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies, examples and a ‘critical incidents’ feature that make these topics engaging and relevant for students of business and management.  The book features chapters on cutting-edge topics, including:  • Big data  • Analytics • Managing emerging technologies and decision-making  • Managing the ethics, security, privacy and legal aspects of data-driven decision-making  The book is accompanied by an Instructor’s Manual, PowerPoint slides and access to journal articles.  Suitable for management students studying business analytics and decision-making at undergraduate, postgraduate and MBA levels.