Evaluating The Effects Of Artificial Intelligence On Complexity In Marketing
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| Author | : |
| Publisher | : GRIN Verlag |
| Total Pages | : 203 |
| Release | : 2021-03-30 |
| Genre | : Business & Economics |
| ISBN | : 3346377865 |
Bachelor Thesis from the year 2018 in the subject Business economics - Offline Marketing and Online Marketing, grade: 1,9, Reutlingen University (ESB Business School), language: English, abstract: The research question explored in this paper is about a potential benefit of AI in marketing, which to this day is comparatively unexplored. Even though the concept of AI has been around since the 1950s, and current research and development make significant progress in this area, scientific literature dealing with AI in marketing consists of less than 300 published articles. This paper distinguishes itself from related papers, as it goes beyond investigating whether AI has an impact on business or not. The results of this thesis shall not only show the potential AI holds for marketing, but also suggest constant theoretical exploration of untapped fields in marketing. The Internet of things (IoT) and big data changed customer behavior and how businesses work. This trend has led to a continued increase in complexity for marketing managers. In 2017, 8.4 billion devices were connected to the internet. This number is forecasted to increase to 20.4 billion by 2020. The immense amount of data generated, collected, and analyzed has propelled new markets, such as big data and artificial intelligence. Marketing managers struggle to keep up with the sheer volume of data available and the surging complexity of marketing. Connecting dispersed data and finding patterns, leads to helpful insights, which are said to reduce complexity. Many businesses lack a clear strategy to tap into the benefits of AI and gain a competitive advantage.
| Author | : Harvard Business Review |
| Publisher | : HBR Insights |
| Total Pages | : 160 |
| Release | : 2019 |
| Genre | : Business & Economics |
| ISBN | : 9781633697898 |
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.
| Author | : Adam Bohr |
| Publisher | : Academic Press |
| Total Pages | : 385 |
| Release | : 2020-06-21 |
| Genre | : Computers |
| ISBN | : 0128184396 |
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
| Author | : El Bachir Boukherouaa |
| Publisher | : International Monetary Fund |
| Total Pages | : 35 |
| Release | : 2021-10-22 |
| Genre | : Business & Economics |
| ISBN | : 1589063953 |
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
| Author | : David Kirsh |
| Publisher | : MIT Press |
| Total Pages | : 370 |
| Release | : 1992 |
| Genre | : Computers |
| ISBN | : 9780262610759 |
In the 11 contributions, theorists historically associated with each position identify the basic tenets of their position.Have the classical methods and ideas of AI outlived their usefulness? Foundations of Artificial Intelligence critically evaluates the fundamental assumptions underpinning the dominant approaches to AI. In the 11 contributions, theorists historically associated with each position identify the basic tenets of their position. They discuss the underlying principles, describe the natural types of problems and tasks in which their approach succeeds, explain where its power comes from, and what its scope and limits are. Theorists generally skeptical of these positions evaluate the effectiveness of the method or approach and explain why it works - to the extent they believe it does - and why it eventually fails.ContentsFoundations of AI: The Big Issues, D. Kirsh - Logic and Artificial Intelligence, N. J. Nilsson - Rigor Mortis: A Response to Nilsson's 'Logic and Artificial Intelligence, ' L. Birnbaum - Open Information Systems Semantics for Distributed Artificial Intelligence, C. Hewitt - Social Conceptions of Knowledge and Action: DAI Foundations and Open Systems Semantics, L. Gasser - Intelligence without Representation, R. A. Brooks - Today the Earwig, Tomorrow Man? D. Kirsh - On the Thresholds of Knowledge, D. B. Lenat, E. A. Feigenbaum - The Owl and the Electric Encyclopedia, B. C. Smith - A Preliminary Analysis of the Soar Architecture as a Basis for General Intelligence, P. S. Rosenbloom, J. E. Laird, A. Newell, R. McCarl - Approaches to the Study of Intelligence, D. A. Norman
| Author | : Ajay Agrawal |
| Publisher | : University of Chicago Press |
| Total Pages | : 172 |
| Release | : 2024-03-05 |
| Genre | : Business & Economics |
| ISBN | : 0226833127 |
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
| Author | : K. Sudhir |
| Publisher | : Emerald Group Publishing |
| Total Pages | : 247 |
| Release | : 2023-03-13 |
| Genre | : Business & Economics |
| ISBN | : 1802628770 |
Review of Marketing Research pushes the boundaries of marketing—broadening the marketing concept to make the world a better place. Here, leading scholars explore how marketing is currently shaping, and being shaped by, the evolution of Artificial Intelligence (AI).
| Author | : Avinash Kaushik |
| Publisher | : John Wiley & Sons |
| Total Pages | : 481 |
| Release | : 2007-07-30 |
| Genre | : Computers |
| ISBN | : 0470175052 |
Written by an in-the-trenches practitioner, this step-by-step guide shows you how to implement a successful Web analytics strategy. Web analytics expert Avinash Kaushik, in his thought-provoking style, debunks leading myths and leads you on a path to gaining actionable insights from your analytics efforts. Discover how to move beyond clickstream analysis, why qualitative data should be your focus, and more insights and techniques that will help you develop a customer-centric mindset without sacrificing your company’s bottom line. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
| Author | : Figueiredo, Paula Cristina Nunes |
| Publisher | : IGI Global |
| Total Pages | : 384 |
| Release | : 2024-02-19 |
| Genre | : Computers |
| ISBN | : |
Artificial Intelligence (AI) permeates our daily lives, revolutionizing routine tasks. However, the profound implications of AI on business management demand meticulous scrutiny. Leaders and organizations must proactively shape strategies to align with the tenets of this new era. This necessitates a commitment to innovatively amalgamate data, technology, design, and human expertise to address real-world challenges on a large scale. Beyond concerns about the future of work and potential job displacement due to automation, societal readiness at all levels becomes paramount for AI to benefit humanity. Complex AI Dynamics and Interactions in Management guides leaders and organizations navigating this transformative era. It facilitates a seamless transition by advocating successful AI initiatives, discerning optimal opportunities, fostering diverse expert teams, conducting strategic experiments, and crafting solutions that contribute to the benefit of both the organization and society. This book is a valuable resource for managers and decision-makers, providing insights on leveraging AI to enhance business sustainability. This initiative allows collaboration among stakeholders, including professionals from public and private sectors, human resources specialists, data experts, and academics from various countries.
| Author | : Stuart Russell |
| Publisher | : Createspace Independent Publishing Platform |
| Total Pages | : 626 |
| Release | : 2016-09-10 |
| Genre | : |
| ISBN | : 9781537600314 |
Artificial Intelligence: A Modern Approach offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.
