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Author: Stoyan Tanev
Publisher: World Scientific
ISBN: 180061134X
Category : Business & Economics
Languages : en
Pages : 328
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Book Description
Artificial Intelligence and Innovation Management contributes to the ongoing debate among innovation scholars and practitioners focusing on the potential impact of Artificial Intelligence (AI) on the ways companies and organizations do business, operate and innovate. It considers AI as a source of innovation both in terms of innovation within the field of AI itself (AI innovation) and in terms of how it enables or disrupts innovation in other fields (AI-driven innovation). The book's content is driven by several important conclusions:It is therefore both necessary and timely to explore the different aspects of the relationship between AI and IM.The contributors to this book include both scholars and practitioners from multiple countries and different types of institutions. They were selected based on their ability to provide a relevant distinctive perspective on the relationship between AI and IM; the degree of their professional engagement with the field; their ability to contribute to the thematic and contextual diversity of the contributions; and their ability to provide actionable insights for both innovation scholars and practitioners.Helena Blackbright (Mälardalen University, Sweden) and Stoyan Tanev (Carleton University, Canada) are chairing the Special Interest Group on AI and IM at the International Society for Professional Innovation Management (https://www.ispim-innovation.com/).
Author: Rohan Singh Rajput
Publisher: Cari Journals USA LLC
ISBN: 9914746152
Category : Computers
Languages : en
Pages : 86
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Book Description
TOPICS IN THE BOOK Proactive Edge Computing for Smart City: A Novel Case for ML-Powered IoT From Data to Decisions: Enhancing Retail with AI and Machine Learning Commercial Mobile Alert System LTE & 5G Network Optimization Harnessing the Power of AI for Enhanced Regulatory Compliance and Risk Management in Fintech
Author: Stoyan Tanev
Publisher: World Scientific
ISBN: 180061134X
Category : Business & Economics
Languages : en
Pages : 328
Get Book Here
Book Description
Artificial Intelligence and Innovation Management contributes to the ongoing debate among innovation scholars and practitioners focusing on the potential impact of Artificial Intelligence (AI) on the ways companies and organizations do business, operate and innovate. It considers AI as a source of innovation both in terms of innovation within the field of AI itself (AI innovation) and in terms of how it enables or disrupts innovation in other fields (AI-driven innovation). The book's content is driven by several important conclusions:It is therefore both necessary and timely to explore the different aspects of the relationship between AI and IM.The contributors to this book include both scholars and practitioners from multiple countries and different types of institutions. They were selected based on their ability to provide a relevant distinctive perspective on the relationship between AI and IM; the degree of their professional engagement with the field; their ability to contribute to the thematic and contextual diversity of the contributions; and their ability to provide actionable insights for both innovation scholars and practitioners.Helena Blackbright (Mälardalen University, Sweden) and Stoyan Tanev (Carleton University, Canada) are chairing the Special Interest Group on AI and IM at the International Society for Professional Innovation Management (https://www.ispim-innovation.com/).
Author: Khang, Alex
Publisher: IGI Global
ISBN:
Category : Medical
Languages : en
Pages : 393
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Book Description
Within the healthcare sector, a pressing need for transformative changes is growing. From chronic diseases to complex diagnostic procedures, the industry stands at the crossroads of technological innovation and a burgeoning demand for more efficient, precise interventions. Patient expectations are soaring, and the deluge of medical data is overwhelming traditional healthcare systems. It is within this challenging environment that AI-Driven Innovations in Digital Healthcare: Emerging Trends, Challenges, and Applications emerges as a beacon of insight and practical solutions. The traditional healthcare framework is struggling to keep pace with the diverse demands of patients and the ever-expanding volume of medical data. As diseases become more intricate, attempts to provide timely identification and precise treatment of ailments become increasingly elusive. The urgency for a paradigm shift in healthcare delivery is emphasized by the critical need for early interventions, particularly in disease prediction. This challenge necessitates a holistic approach that harnesses the power of artificial intelligence (AI) and innovative technologies to steer healthcare toward a more responsive and patient-centric future.
Author: Ajay Agrawal
Publisher: University of Chicago Press
ISBN: 0226833127
Category : Business & Economics
Languages : en
Pages : 172
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Book Description
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: Robbie Allen
Publisher: Addison-Wesley Professional
ISBN: 9780135226209
Category : Computers
Languages : en
Pages : 99998
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Book Description
Increasingly, business leaders and managers recognize that machine learning offers their companies immense opportunities for competitive advantage. But most discussions of machine learning are intensely technical or academic, and don't offer practical information leaders can use to identify, evaluate, plan, or manage projects. Deploying Machine Learning fills that gap, helping them clarify exactly how machine learning can help them, and collaborate with technologists to actually apply it successfully. You'll learn: What machine learning is, how it compares to "big data" and "artificial intelligence," and why it's suddenly so important What machine learning can do for you: solutions for computer vision, natural language processing, prediction, and more How to use machine learning to solve real business problems -- from reducing costs through improving decision-making and introducing new products Separating hype from reality: identifying pitfalls, limitations, and misconceptions upfront Knowing enough about the technology to work effectively with your technical team Getting the data right: sourcing, collection, governance, security, and culture Solving harder problems: exploring deep learning and other advanced techniques Understanding today's machine learning software and hardware ecosystem Evaluating potential projects, and addressing workforce concerns Staffing your project, acquiring the right tools, and building a workable project plan Interpreting results -- and building an organization that can increasingly learn from data Using machine learning responsibly and ethically Preparing for tomorrow's advances The authors conclude with five chapter-length case studies: image, text, and video analysis, chatbots, and prediction applications. For each, they don't just present results: they also illuminate the process the company undertook, and the pitfalls it overcame along the way.
Author: Nadda, Vipin
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 587
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Book Description
The use of artificial intelligence (AI) in service and tourism marketing has revolutionized the industry by personalizing customer experiences and optimizing operational efficiency. AI-driven tools analyze vast amounts of data to understand customer preferences, enabling businesses to offer tailored recommendations and promotions. AI-powered marketing campaigns can adapt in real-time, ensuring messages resonate with the right audience. AI Innovations in Service and Tourism Marketing discusses cutting-edge innovations in the use of AI technologies in service and tourism marketing. It explains how to harness these technologies to enhance customer experience and drive engagement. Covering topics such as automation, chatbots, and operational efficiency, this book is an excellent resource for managers, marketing professionals, business leaders, researchers, academicians, educators, and postgraduate students.
Author: Minghai Zheng
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
1. Want to stay ahead of the curve in today's fast-paced business world? Check out #AIDrivenInnovation for disruptive solutions you won't want to miss! 2. Are you ready to take your business to the next level? Discover how AI can help with #AIDrivenInnovation - the ultimate guide for modern businesses. 3. Don't get left behind! Learn how to harness the power of AI for your business with #AIDrivenInnovation - the must-read book for disruptive solutions. 4. Want to revolutionize the way you do business? Dive into #AIDrivenInnovation and discover the potential of AI-driven solutions for modern businesses. 5. Are you ready to transform your business operations? #AIDrivenInnovation will show you how AI can drive innovation and boost your bottom line. Artificial intelligence (AI) has become a powerful tool for businesses looking to transform their operations and stay competitive in today's digital economy. AI-driven innovation offers numerous benefits, including improved efficiency, enhanced customer experiences, and more informed decision-making processes. However, the adoption of AI also poses challenges related to ethics, bias, and responsible use. In this book, we will explore the potential of AI-driven innovation to disrupt modern businesses and provide disruptive solutions that drive growth and success. We will examine the various applications of AI in business, such as automation, advanced analytics, and machine learning, and how they can be leveraged to optimize operations and enhance customer experiences. We will also discuss the ethical concerns surrounding AI-enabled innovation and ways to mitigate risks associated with its adoption. Additionally, we will highlight the importance of compliance with legal and regulatory requirements governing the use of AI in business. Throughout this book, we aim to provide readers with a comprehensive understanding of AI-driven innovation and its potential to transform modern businesses. Whether you are a business owner, manager, or executive, this book will offer valuable insights into the latest trends and best practices for leveraging AI in your organization. MingHai Zheng is a writer based in Wuhan, China, who focuses on writing articles about workplace and management topics. He has written hundreds of articles on these topics and is dedicated to sharing his insights and experiences with others who are interested in improving their careers and their businesses.
Author: Samala Nagaraj
Publisher: IGI Global
ISBN: 1668442485
Category : Computers
Languages : en
Pages : 293
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Book Description
"As digital technology is taking the world in a revolutionary way and business related aspects are getting smarter this book is a potential research source on the Artificial Intelligence-based Business Applications and Intelligence"--
Author: George Krasadakis
Publisher: Springer Nature
ISBN: 3030451399
Category : Business & Economics
Languages : en
Pages : 316
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Book Description
This book presents unique insights and advice on defining and managing the innovation transformation journey. Using novel ideas, examples and best practices, it empowers management executives at all levels to drive cultural, technological and organizational changes toward innovation. Covering modern innovation techniques, tools, programs and strategies, it focuses on the role of the latest technologies (e.g., artificial intelligence to discover, handle and manage ideas), methodologies (including Agile Engineering and Rapid Prototyping) and combinations of these (like hackathons or gamification). At the same time, it highlights the importance of culture and provides suggestions on how to build it. In the era of AI and the unprecedented pace of technology evolution, companies need to become truly innovative in order to survive. The transformation toward an innovation-led company is difficult – it requires a strong leadership and culture, advanced technologies and well-designed programs. The book is based on the author’s long-term experience and novel ideas, and reflects two decades of startup, consulting and corporate leadership experience. It is intended for business, technology, and innovation leaders.
Author: Ramesh Shetty
Publisher: Independently Published
ISBN:
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
Welcome to the world of AI Business Models. In this rapidly evolving digital era, the fusion of artificial intelligence (AI) with business strategies has become a pivotal force reshaping industries across the globe. This book navigates the readers into the intricate tapestry of AI-driven business models, exploring the transformative potential, challenges, and opportunities that lie ahead. As authors, we embarked on this journey with a shared vision: to unravel the complexities of AI business models and provide readers with valuable insights into navigating this dynamic landscape. Our collective expertise in AI technologies, business strategy, and innovation has culminated in a comprehensive exploration of the subject matter. The books identify, evaluate, and compare various AI business models including product-based, service-based, subscription-based, cloud-based, data-centric, open-source, collaborative, platform-based and ecosystem-based AI business models. Efforts were also made to provide various real-world examples, use cases, and case studies to support the discussions carried out throughout the book. Furthermore, the book highlights the pivotal role of collaboration and community-driven innovation in shaping the future of AI business models. Whether through open-source initiatives or industry-specific ecosystems, the collective intelligence of diverse stakeholders is paramount in driving AI advancements and addressing real-world challenges. As you embark on this exploration of AI business models, we encourage you to approach each chapter with an open mind and a willingness to embrace the transformative potential of AI technologies. Whether you are a seasoned entrepreneur, a business leader, or an aspiring innovator, this book offers valuable insights and practical guidance to navigate the ever-changing landscape of AI-driven entrepreneurship.
