Big Data and Artificial Intelligence in Management. Disruptive Technologies as a success factor for decision-making PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Big Data and Artificial Intelligence in Management. Disruptive Technologies as a success factor for decision-making PDF full book. Access full book title Big Data and Artificial Intelligence in Management. Disruptive Technologies as a success factor for decision-making by Moritz Mayer. Download full books in PDF and EPUB format.
Author: Moritz Mayer Publisher: GRIN Verlag ISBN: 3346628779 Category : Business & Economics Languages : en Pages : 74
Book Description
Document from the year 2019 in the subject Business economics - Business Management, Corporate Governance, , language: English, abstract: Geopolitically, economically and technologically, the world is in a state of upheaval. Technological progress is shortening innovation cycles, processes and projects in companies are steadily gaining in complexity, and the globalized economy is producing increasingly dynamic markets. In an era characterized by the networking of the real and virtual worlds, data is emerging as the resource of the future. However, the huge amounts of data, also known as Big Data, demand that they be used effectively. As a result, management must make increasingly frequent and complex decisions. However, human working time is scarce and the question arises as to whether human capacity, intelligence and creativity can still cope with the increasing demands. Could AI, using Big Data, possibly act as a success factor, in corporate decision making? Under this question, Mayer compares the decision-making of a human with that of an artificial intelligence. The focus here is primarily on the economic goal idea. What basic requirements does an AI need? What risks open up, among other things in terms of loss of control, ethics or data protection? And to what extent are the numerous visions actually realizable in practice? From the contents: - Digitization - Big Data - Artificial Intelligence - Management 4.0 - Enterprise
Author: Moritz Mayer Publisher: GRIN Verlag ISBN: 3346628779 Category : Business & Economics Languages : en Pages : 74
Book Description
Document from the year 2019 in the subject Business economics - Business Management, Corporate Governance, , language: English, abstract: Geopolitically, economically and technologically, the world is in a state of upheaval. Technological progress is shortening innovation cycles, processes and projects in companies are steadily gaining in complexity, and the globalized economy is producing increasingly dynamic markets. In an era characterized by the networking of the real and virtual worlds, data is emerging as the resource of the future. However, the huge amounts of data, also known as Big Data, demand that they be used effectively. As a result, management must make increasingly frequent and complex decisions. However, human working time is scarce and the question arises as to whether human capacity, intelligence and creativity can still cope with the increasing demands. Could AI, using Big Data, possibly act as a success factor, in corporate decision making? Under this question, Mayer compares the decision-making of a human with that of an artificial intelligence. The focus here is primarily on the economic goal idea. What basic requirements does an AI need? What risks open up, among other things in terms of loss of control, ethics or data protection? And to what extent are the numerous visions actually realizable in practice? From the contents: - Digitization - Big Data - Artificial Intelligence - Management 4.0 - Enterprise
Author: Harvard Business Review Publisher: HBR Insights ISBN: 9781633697898 Category : Business & Economics Languages : en Pages : 160
Book Description
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: Sandhu, Kamaljeet Publisher: IGI Global ISBN: 1799885852 Category : Business & Economics Languages : en Pages : 410
Book Description
With the far-reaching global impact of the COVID-19 pandemic, the demand and the necessity for digital enterprise transformation have accelerated exponentially. Management and strategies for the adoption and wider usage of newer digital technologies for the transformation of an enterprise through digital tools such as real-time video communications have shown that people no longer need to be required to be physically present in the same place; rather, they can be geographically dispersed. Technologies such as artificial intelligence, cloud computing, digital banking, and cloud data have taken over tasks that were initially done by human hands and have increased both the automation and efficiency of tasks and the accessibility of information and services. Inclusion of all these newer technologies has shown the fast pace at which the digital enterprise transformation is rapidly evolving and how new ecosystems are reshaping the digital enterprise model. Disruptive Technology and Digital Transformation for Business and Government presents interesting research on digital enterprise transformation at different stages and across different settings within government and industry, along with key issues and deeper insights on the core problems and developing solutions and recommendations for digital enterprise transformation. The chapters examine the three core leaders of transformation: the people such as managers, employees, and customers; the digital technology such as artificial intelligence and robotics; and the digital enterprise, including the products and services being transformed. They unravel the underlying process for management and strategies to fully incorporate new digital tools and technologies across all aspects of an enterprise undergoing transformation. This book is ideally intended for managers, executives, IT consultants, business professionals, government officials, researchers, students, practitioners, stakeholders, academicians, and anyone else looking to learn about new developments in digital enterprise transformation of business systems from a global perspective.
Author: Figueiredo, Paula Cristina Nunes Publisher: IGI Global ISBN: Category : Computers Languages : en Pages : 384
Book Description
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: Kuznetsov, Mikhail Yevgenievich Publisher: IGI Global ISBN: 1799820130 Category : Business & Economics Languages : en Pages : 230
Book Description
While corporate governance has been a successful concept throughout the centuries, it is in question whether this concept can remain sustainable in the digital era and during a time of technological and managerial disruption. Under the pressure of new economic, social, and ecologic challenges, it is vital to understand how this concept needs to transform. Challenges and Opportunities of Corporate Governance Transformation in the Digital Era is an essential reference source that discusses concepts, trends, and forecasts of corporate governance and examines its transformation under the pressure of new technologies and economic changes. Featuring research on topics such as corporate identity, e-commerce, and cost management, this book is ideally designed for corporate leaders, managers, executives, business professionals, consultants, professors, researchers, and students.
Author: El Bachir Boukherouaa Publisher: International Monetary Fund ISBN: 1589063953 Category : Business & Economics Languages : en Pages : 35
Book Description
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: Singh, Surabhi Publisher: IGI Global ISBN: 1799879615 Category : Business & Economics Languages : en Pages : 289
Book Description
Integration of artificial intelligence (AI) into customer relationship management (CRM) automates the sales, marketing, and services in organizations. An AI-powered CRM is capable of learning from past decisions and historical patterns to score the best leads for sales. AI will also be able to predict future customer behavior. These tactics lead to better and more effective marketing strategies and increases the scope of customer services, which allow businesses to build healthier relationships with their consumer base. Adoption and Implementation of AI in Customer Relationship Management is a critical reference source that informs readers about the transformations that AI-powered CRM can bring to organizations in order to build better services that create more productive relationships. This book uses the experience of past decisions and historical patterns to discuss the ways in which AI and CRM lead to better analytics and better decisions. Discussing topics such as personalization, quality of services, and CRM in the context of diverse industries, this book is an important resource for marketers, brand managers, IT specialists, sales specialists, managers, students, researchers, professors, academicians, and stakeholders.
Author: Singla, Babita Publisher: IGI Global ISBN: Category : Medical Languages : en Pages : 466
Book Description
The healthcare sector is at a critical juncture, facing the pressing need to integrate generative AI technologies responsibly. Despite the promising benefits, such as improved diagnostics, personalized treatments, and streamlined operations, the adoption of AI in healthcare poses significant challenges. These challenges include ethical dilemmas, regulatory complexities, and the need for governance frameworks to ensure the technology's responsible use. Revolutionizing the Healthcare Sector with AI offers a comprehensive solution to these challenges. It provides a deep dive into the adoption, integration, scalability, and sustainability of generative AI in healthcare and a thorough analysis of governance, ethical, and regulatory issues. By offering insights from researchers, practitioners, patients, and policymakers, this book is a platform for responsible AI adoption in healthcare.
Author: Adam Bohr Publisher: Academic Press ISBN: 0128184396 Category : Computers Languages : en Pages : 385
Book Description
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: Bang Nguyen Publisher: Routledge ISBN: 1317621999 Category : Business & Economics Languages : en Pages : 548
Book Description
Customers are treated badly. Not all customers. Not always. But many are and often. Some customers are bad. They treat firms badly. Firms have to react. Employees and customers endure the consequences. Such bad behaviours, by firms and customers, have consequences for perceptions of trust and fairness, for endorsements and referrals, for repeat purchasing and loyalty, and ultimately for a firm’s profitability and RoI. The management of customer relationships is core to the success and even survival of the firm. As The Dark Side of CRM explores, this is an area fraught with difficulties, duplicitous practice and undesirable behaviours. These need acknowledging, mitigating and controlling. This book is the first of its kind to define these dark sides, exploring also how firms and policy-makers might address such behaviours and manage them successfully. With contributions from many of the leading exponents globally of CRM and understanding customers, The Dark Side of CRM is essential reading for students, researchers and practitioners interested in managing customers, relationship marketing and CRM, as well as social media and marketing strategy.
Author: Moritz Mayer
Author: Moritz Mayer
Author: Harvard Business Review
Author: Sandhu, Kamaljeet
Author: Figueiredo, Paula Cristina Nunes
Author: Kuznetsov, Mikhail Yevgenievich
Author: El Bachir Boukherouaa
Author: Singh, Surabhi
Author: Singla, Babita
Author: Adam Bohr
Author: Bang Nguyen