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How will Big Data change the way managers make decisions? Artificial intelligence and its impact on managerial decision making

How will Big Data change the way managers make decisions? Artificial intelligence and its impact on managerial decision making
Author: Carolin Nothof
Publisher: GRIN Verlag
Total Pages: 83
Release: 2019-03-22
Genre: Business & Economics
ISBN: 3960954867

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Today’s most precious raw material is not gold, but Big Data: Each one of us generates a huge amount of information every single day, rendering thus both ourselves and our choices transparent. But in addition to that, Big Data helps companies to improve their decision-making. Since managers have to address highly complex issues in an ever more complicated world, they cannot do without Big Data and Artificial Intelligence, as Carolin Nothof explains. By taking into account various external factors, their algorithms predict right entrepreneurial choices. These choices can be made in areas such as retail, Human Resources, the Internet of Things, and marketing. Nothof’s publication is not only rich in theoretical explanations, but also gives examples of the practical use of Big Data in various industries. Machines are a man’s best co-workers. In this book: - Big Data; - decision-making; - AI; - Behavorial Economics; - Machine Learning; - algorithms


Management Decision-Making, Big Data and Analytics

Management Decision-Making, Big Data and Analytics
Author: Simone Gressel
Publisher: SAGE
Total Pages: 354
Release: 2020-10-12
Genre: Business & Economics
ISBN: 1529738288

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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.


The Future of Management in an AI World

The Future of Management in an AI World
Author: Jordi Canals
Publisher: Springer Nature
Total Pages: 254
Release: 2019-09-21
Genre: Business & Economics
ISBN: 3030206807

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Artificial Intelligence (AI) is redefining the nature and principles of general management. The technological revolution is reshaping industries, disrupting existing business models, making traditional companies obsolete and creating social change. In response, the role of the manager needs to urgently evolve and adjust. Companies need to rethink their purpose, strategy, organisational design and decision-making rules. Crucially they will also need to consider how to nurture and develop the business leaders of the future and develop new ways to interact with society on issues such as privacy and trust. Containing international insights from leading figures from the world of management and technology, this book addresses the big challenges facing organisations, including: · Decision-making · Corporate strategy · People management and leadership · Organisational design Taking a holistic approach, this collection of expert voices provides valuable insight into how firms will discover and commit to what makes them unique in this new big data world, empowering them to create and sustain competitive advantage.


Decision Intelligence

Decision Intelligence
Author: Thorsten Heilig
Publisher: John Wiley & Sons
Total Pages: 247
Release: 2023-10-31
Genre: Business & Economics
ISBN: 1394185448

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Dramatically improve your decisions with data and AI In Decision Intelligence: Transform Your Team and Organization with AI-Driven Decision-Making, a team of pioneering decision and AI strategists delivers a digestible and hands-on resource for professionals at every part of the decision-making journey. The book discusses the latest technology and approaches that bridge the gap between behavioral science, data science, and technological innovation. Discover how leaders from various industries and environments are using data and AI to make better future decisions, taking both human as well as business factors into account. This book covers: A demystifying behind-the-scenes peek inside how AI models, forecasts, and optimization for business challenges really work, and why they open up entirely new possibilities. A business-ready introduction to decision intelligence, exploring why traditional decision-making strategies are outdated and how to transition to decision-intelligence. The evolution of Decision Intelligence, coming from analytics and modern techniques like process mining and robotic process automation An examination of decision intelligence at the organizational level, including discussions of agile transformation, transparent organizational culture, and why psychological safety is a crucial enabler for new ways of decision-making in modern companies An overview of why (and where exactly) AI still needs human expertise and how to incorporate this topic in daily planning and decision making Decision Intelligence is essential reading for managers, executives, board members, other business leaders and soon-to-be leaders looking to improve the quality, adaptability, and speed of their decision-making. Praise for Decision Intelligence "In Decision Intelligence, Thorsten Heilig and Ilhan Scheer build a compelling case for the world of tomorrow’s version of decision-making.” ―Martin Lindstrom, New York Times best-selling author "Decision Intelligence will be one of the big topics for this decade and completely change the way organizations manage, plan, and operate. This book provides a comprehensive guide from the basics to the applications." ―Niklas Jansen, Entrepreneur and Tech Investor, Founding Partner Interface Capital and Co-Founder Blinkist "The book impressively demonstrates the potential and entry points into the world of AI-powered decision making. A very valuable reading for managers and their organizations". ―Michael Kleinemeier, Member of the Merck KG Board of Partners, former Member of the SAP SE Executive Board “The AI hype perfectly captured, easy to understand, de-mystified and mapped to clear use cases - a must-read for today's managers.” ―Dr. Daniela Gerd tom Markotten, Member of the Management Board for Digitalization and Technology, Deutsche Bahn AG


Big Data

Big Data
Author: Viktor Mayer-Schönberger
Publisher: Houghton Mifflin Harcourt
Total Pages: 257
Release: 2013
Genre: Business & Economics
ISBN: 0544002695

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A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.


Data-Driven Approaches for Effective Managerial Decision Making

Data-Driven Approaches for Effective Managerial Decision Making
Author: Anubha
Publisher: Business Science Reference
Total Pages: 0
Release: 2023
Genre: Big data
ISBN: 9781668475683

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In today's competitive market, a manager must be able to look at data, understand it, analyze it, and then interpret it to design a smart business strategy. Big data is also a valuable source of information on how customers interact with firms through various mediums such as social media platforms, online reviews, and many more. The applications and uses of business analytics are numerous and must be further studied to ensure they are utilized appropriately. Data-Driven Approaches for Effective Managerial Decision Making investigates management concepts and applications using data analytics and outlines future research directions. The book also addresses contemporary advancements and innovations in the field of management. Covering key topics such as big data, business intelligence, and artificial intelligence, this reference work is ideal for managers, business owners, industry professionals, researchers, scholars, academicians, practitioners, instructors, and students.


Artificial Intelligence

Artificial Intelligence
Author: Harvard Business Review
Publisher: HBR Insights
Total Pages: 160
Release: 2019
Genre: Business & Economics
ISBN: 9781633697898

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Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.


Decision Intelligence Analytics and the Implementation of Strategic Business Management

Decision Intelligence Analytics and the Implementation of Strategic Business Management
Author: P. Mary Jeyanthi
Publisher: Springer Nature
Total Pages: 236
Release: 2022-01-01
Genre: Technology & Engineering
ISBN: 3030827631

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This book presents a framework for developing an analytics strategy that includes a range of activities, from problem definition and data collection to data warehousing, analysis, and decision making. The authors examine best practices in team analytics strategies such as player evaluation, game strategy, and training and performance. They also explore the way in which organizations can use analytics to drive additional revenue and operate more efficiently. The authors provide keys to building and organizing a decision intelligence analytics that delivers insights into all parts of an organization. The book examines the criteria and tools for evaluating and selecting decision intelligence analytics technologies and the applicability of strategies for fostering a culture that prioritizes data-driven decision making. Each chapter is carefully segmented to enable the reader to gain knowledge in business intelligence, decision making and artificial intelligence in a strategic management context.


AI and Data Analytics Applications in Organizational Management

AI and Data Analytics Applications in Organizational Management
Author: Merlo, Tereza Raquel
Publisher: IGI Global
Total Pages: 347
Release: 2024-02-07
Genre: Business & Economics
ISBN:

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Within information sciences and organizational management, a pressing challenge emerges; How can we harness the transformative power of artificial intelligence (AI) and data analytics? As industries grapple with a deluge of data and the imperative to make informed decisions swiftly, the gap between data collection and actionable insights widens. Professionals in various sectors are in a race to unlock AI's full potential to drive operational efficiency, enhance decision-making, and gain a competitive edge. However, navigating this intricate terrain, laden with ethical considerations and interdisciplinary complexity, has proven to be a formidable undertaking. AI and Data Analytics Applications in Organizational Management, combines rigorous scholarship with practicality. It traverses the spectrum from theoretical foundations to real-world applications, making it indispensable for those seeking to implement AI-driven data analytics in their organizations. Moreover, it delves into the ethical and societal dimensions of this revolution, ensuring that the journey toward innovation is paved with responsible considerations. For researchers, scholars, and practitioners yearning to unleash the potential of AI in organizational management, this book is the key to not only understanding the landscape but also charting a course toward transformative change.


Leadership by Algorithm

Leadership by Algorithm
Author: David De Cremer
Publisher: Harriman House Limited
Total Pages: 179
Release: 2020-05-26
Genre: Business & Economics
ISBN: 0857198297

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With artificial intelligence on the rise, the way we run our organisations will change—and drastically. But what exactly will that future look like? And who will take the leading role: machines or people? In this compelling new book, leading management guru David De Cremer identifies the key areas where algorithms will collide with human skills, and assesses the likely outcomes. Will your next boss be a robot? Can an AI boss display the human qualities that define a good leader: compassion, empathy, imagination, ethics, and strategic awareness? Drawing on his own research findings, and those from thought leaders around the world, the author presents fascinating insights into the challenges that an automated work environment poses for organisations of the future. Leadership by Algorithm offers some startling conclusions that make clear the true nature of the power struggle between man and machine. It also identifies the leadership qualities needed to deal with this struggle most effectively.