Integrated Intelligence as a competitive advantage
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Ulrich Lichtenthaler is Professor of Management and Entrepreneurship at ISM - International School of Management in Cologne, Germany.
Ulrich Lichtenthaler ist Professor für Management und Entrepreneurship an der ISM – International School of Management in Köln. Er gilt als einer der führenden akademischen Experten zum Management Künstlicher Intelligenz und verfasste zahlreiche Artikel zum Thema für internationale Publikationen wie die MIT Sloan Management Review und das Wall Street Journal.
Preface
How can businesses profit from artificial intelligence? The book addresses this key strategic question by examining the possibilities for gaining and sustaining a competitive advantage in an intelligence-based competitive environment. As such, it goes considerably beyond viewing AI applications as isolated tools that may enhance the efficiency of established business processes. Rather, it considers the interplays of artificial and human intelligence that enable firms to develop completely new products, services, processes, and business models. Besides many opportunities, the growing importance of AI also brings major threats for the traditional business of companies and for the jobs of some employees. In addition, the recent advances in different fields of AI have led to the emergence of major ethical questions, whose importance cannot be overestimated. In this exciting and challenging context, this book focuses on the strategic and competitive rather than ethical implications of AI.
This book is aimed at managers and executives, and it does not require prior knowledge in information technology or engineering. Instead, it shows how firms may thrive in a digital future by achieving an intelligence-based competitive advantage. As such, the book is targeted at practitioners rather than researchers. Nonetheless, some concepts, such as the intelligence-based view of business performance, may also provide a contribution to management research. In fact, many parts of the book have been adapted from some of my previous journal articles, which ‘survived’ review processes before publication and which also include a more detailed literature overview. However, the focus of this book is on managerial implications. Therefore, it deemphasizes discussions of the academic literature. For a more detailed literature review, please consult the published journal articles, to which I refer in several chapters.
The book offers some guidance and support to practitioners in the exciting journey towards intelligence-based future competition. My previous consulting expertise and ongoing collaborations with companies suggest that some of the insights of the book actually provide helpful starting points for managers. If readers are most interested in the relevance of AI and the situation at other companies, part A may be particularly interesting. If the focus is more on implementation challenges, part E and especially the I3 – Integrated Intelligence Incubator are worth reading. At the end of chapter 14 you will find an overview of the major characteristics of Integrated Intelligence. HR professionals may be particularly interested in part D and the beginning of part E, which address the role of employee attitudes, new leadership styles, and the future role of the HR department. For academics, part B with the conceptual framework for an intelligence-based view may be relevant. Overall, the largest part of the impact of AI is yet to come. I wish you best of luck with your AI initiatives and look forward to receiving your feedback and hopefully meeting you at some future event. Please do not hesitate to contact me:
www.integratedintelligence.de
Cologne, February 2020
Prof. Dr. Ulrich Lichtenthaler
Part A
Relevance
Chapter 1
The competitive relevance of artificial intelligence
Can your business successfully compete without using artificial intelligence (AI) in the future? No. Can your company successfully compete without human expertise and human intelligence (HI) in the future? No. So far, these questions are no-brainers. But do you think that your company takes the necessary steps to benefit from AI and HI in the future? Well … honestly no. If these could be your own answers, you are quite representative for many companies at present. These are very typical responses that you will get from the executives and managers in many established companies when asking some quick questions about the relevance of AI. Many companies have acknowledged the relevance of AI. Beyond merely realizing the importance, many of them actively utilize AI, and this is true for large companies as well as small and medium-sized enterprises across a large variety of different sectors, including product-based as well as service-driven industries. Thus, is everything fine with the competitiveness of those established companies in an intelligence-based future? Most unfortunately, the answer again is … no.
Many companies have accepted the growing importance of AI in terms of advanced data analytics and intelligent algorithms. You can hardly avoid regular news updates about the latest developments and accomplishments of AI in the news, press, social media, and many other channels. Despite the clear understanding of both AI and human expertise being essential in the future, however, most companies do not act accordingly. If you answer ‘no’ to the question of whether your firm takes the necessary steps for profiting from AI and HI, this is a strong initial signal that your organization may be in trouble, at least in the medium to long run. However, your insight is an important first step towards strategic transformation. Paradoxically, the situation is often even more difficult at companies where executives are fully convinced that they are on the right path with regard to AI. These companies have usually started some strategic initiatives towards implementing selected smart algorithms and the latest technology for data analytics, but most of these companies only claim to be well-prepared for intelligence-based competition.
In fact, these companies only seem to be well-prepared at first glance. When you take a closer look, the leading position of these companies is only a superficial perception, and this wrong perception may be dangerous. So do you personally take the necessary steps to benefit from AI and HI in your everyday business activities? Maybe yes … and maybe you have initiated some fascinating strategic initiatives for implementing AI, which work well and which are quite successful from an operational and financial perspective. These success stories may be important, and they may constitute major steps towards proficiently competing in the future. Nonetheless, you most likely are not among the very small minority of companies that are in fact leading the intelligence revolution. Rather, the likelihood is over 90 percent that you and your company have a wrong perception of being well prepared for the digital future – at least to some degree. So what is the situation with regard to AI in the vast majority of companies, really?
Many firms from a variety of sectors – such as automotive, chemicals, electronics, machinery, and pharmaceuticals – are reluctant to fully leverage the benefits of AI, willingly or unwillingly. Even those companies that are actively pursuing strategic AI initiatives usually focus on replacing some human work by AI in selected business processes. However, merely using AI to substitute for human work will usually be insufficient. This logic of replacing humans may be an important first step in using AI. In many situations, it may be implemented quite easily because the underlying business processes do not change. Therefore, it is indeed a good start for leveraging AI. Nonetheless, it is only a suitable first step and nothing more. In particular, replacing human work typically helps companies to enhance their efficiency. The cost savings that are associated with this substitution are a natural next step in the automation of business activities. However, these smart automation processes will become standard procedures in the future. Consequently, a company’s competitors will also master these AI applications, whose competitive benefits will fall short of most executives’ expectations.
This is not to say that the efficiency gains from AI are not relevant with regard to a firm’s financial...
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