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Author: Sharma, Priyanka
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 334
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Book Description
Modern businesses face the challenge of how to most effectively harness the power of Artificial Intelligence (AI) to enhance customer engagement and streamline operations. The proliferation of AI tools like ChatGPT offers immense potential. Yet, businesses often need help to navigate the complexities of implementation and maximize the benefits. This gap between AI's promise and its practical application highlights the need for a comprehensive resource that offers practical insights and innovative strategies. Real-Time Data Decisions With AI and ChatGPT Techniques is a groundbreaking book that addresses this critical challenge. By providing a detailed analysis of ChatGPT and other AI tools, this book equips businesses with the knowledge and strategies needed to leverage AI effectively. From algorithmic enhancements to real-world applications, each chapter offers valuable insights and actionable recommendations, making this book an indispensable guide for businesses seeking to capitalize on AI's transformative potential.
Author: Sharma, Priyanka
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 334
Get Book Here
Book Description
Modern businesses face the challenge of how to most effectively harness the power of Artificial Intelligence (AI) to enhance customer engagement and streamline operations. The proliferation of AI tools like ChatGPT offers immense potential. Yet, businesses often need help to navigate the complexities of implementation and maximize the benefits. This gap between AI's promise and its practical application highlights the need for a comprehensive resource that offers practical insights and innovative strategies. Real-Time Data Decisions With AI and ChatGPT Techniques is a groundbreaking book that addresses this critical challenge. By providing a detailed analysis of ChatGPT and other AI tools, this book equips businesses with the knowledge and strategies needed to leverage AI effectively. From algorithmic enhancements to real-world applications, each chapter offers valuable insights and actionable recommendations, making this book an indispensable guide for businesses seeking to capitalize on AI's transformative potential.
Author: Monika Jyotiyana
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
Modern businesses face the challenge of how to most effectively harness the power of Artificial Intelligence (AI) to enhance customer engagement and streamline operations. The proliferation of AI tools like ChatGPT offers immense potential. Yet, businesses often need help to navigate the complexities of implementation and maximize the benefits. This gap between AI's promise and its practical application highlights the need for a comprehensive resource that offers practical insights and innovative strategies. Real-Time Data Decisions With AI and ChatGPT Techniques is a groundbreaking book that addresses this critical challenge. By providing a detailed analysis of ChatGPT and other AI tools, this book equips businesses with the knowledge and strategies needed to leverage AI effectively. From algorithmic enhancements to real-world applications, each chapter offers valuable insights and actionable recommendations, making this book an indispensable guide for businesses seeking to capitalize on AI's transformative potential.
Author: Adam Bohr
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385
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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: Sebastian Thrun
Publisher: Springer Science & Business Media
ISBN: 1461555299
Category : Computers
Languages : en
Pages : 346
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Book Description
Over the past three decades or so, research on machine learning and data mining has led to a wide variety of algorithms that learn general functions from experience. As machine learning is maturing, it has begun to make the successful transition from academic research to various practical applications. Generic techniques such as decision trees and artificial neural networks, for example, are now being used in various commercial and industrial applications. Learning to Learn is an exciting new research direction within machine learning. Similar to traditional machine-learning algorithms, the methods described in Learning to Learn induce general functions from experience. However, the book investigates algorithms that can change the way they generalize, i.e., practice the task of learning itself, and improve on it. To illustrate the utility of learning to learn, it is worthwhile comparing machine learning with human learning. Humans encounter a continual stream of learning tasks. They do not just learn concepts or motor skills, they also learn bias, i.e., they learn how to generalize. As a result, humans are often able to generalize correctly from extremely few examples - often just a single example suffices to teach us a new thing. A deeper understanding of computer programs that improve their ability to learn can have a large practical impact on the field of machine learning and beyond. In recent years, the field has made significant progress towards a theory of learning to learn along with practical new algorithms, some of which led to impressive results in real-world applications. Learning to Learn provides a survey of some of the most exciting new research approaches, written by leading researchers in the field. Its objective is to investigate the utility and feasibility of computer programs that can learn how to learn, both from a practical and a theoretical point of view.
Author: Agnihotri, Alka
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 356
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Book Description
The rapid advancement of technology is disrupting traditional leadership paradigms, challenging leaders to adapt to new ways of thinking and operating. Emerging technologies such as artificial intelligence, robotics, and the Internet of Things are revolutionizing industries, creating a pressing need for leaders who can navigate this digital landscape effectively. However, many leaders need to gain the knowledge and skills to harness these technologies to their full potential, leading to missed opportunities and ineffective leadership practices. Impact of New Technology on Next-Generation Leadership offers a comprehensive solution to this pressing challenge. This book provides a deep dive into how emerging technologies reshape leadership roles and responsibilities, offering practical insights and strategies for leaders to thrive in this new era. This book is essential reading for graduates, post-graduates, and professionals in management and related fields, as well as academics and researchers seeking to stay ahead in the ever-evolving leadership landscape.
Author: Jayesh Rane
Publisher: Deep Science Publishing
ISBN: 8198127178
Category : Computers
Languages : en
Pages : 278
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Book Description
The rapid digital development of the recent era has revolutionized the overall network of business and management as well as other sectors. The book discusses how emerging technologies, artificial intelligence (AI), blockchain, big data analytics, cloud computing and the Internet of Things (IoT), have a high level of impact on different industries. With more and more businesses turning towards these techs, it is extremely important to really understanding their relation and use in order to remain at the cutting edge of technology while emerging as an innovator. Chapter 1 is a detailed introduction to the digital transformation, driven by AI, blockchain, IoT and other technologies are changing Business & Management processes. This paves the way for diving deeper into targeted topics where these innovations are starting to have a big influence. In chapter two we delve into the increasing popularity of generative AI, ChatGPT takes center stage and how it is impacting range of industries. In this research, we review generative AI applications and opportunities as well as challenges and the outlook, for future development. Also touched on in the book are the customer front-exporting portions of digital renovation. Chapter 3 - Overall Vision: How AI, Machine Learning and related technologies help in higher customer satisfaction and loyalty right into the services industry to build exceptional service quality. In chapter four, we look at education-providing a SWOT analysis for ChatGPT in the transformation of pedagogical practices and research. We find that our higher-level theory is not so easily translated back into practice here - illustrating both the promise and problems that AI holds within a university setting. There are various areas in which we heavily rely on spatial analysis and remote sensing, and chapter five illustrates the new means by which AI and ChatGPT can be used to improve data interpretation and analysis for these fields. Chapter six shifts the focus to agriculture, highlighting how AI, machine learning and ChatGPT come into play in smart farming and how it might pave a way for enhanced productivity and sustainability within the agricultural landscape. Taken together, these chapters offer a deep dive into how AI is driving hope at sectors and provides insightful knowledge about futurity of business, education, and industry.
Author: Callisto Momesso
Publisher: T Turner
ISBN:
Category : Business & Economics
Languages : en
Pages : 69
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Book Description
"ChatGPT's Money-Making Secrets: 21 Powerful Strategies to Transform Your Finances!" by Callisto Momesso is a game-changing guide to financial success. Using cutting-edge AI technology, ChatGPT has analyzed vast amounts of financial data to provide readers with 21 powerful strategies for transforming their finances. This book is a must-read for anyone looking to take control of their financial future. From developing new skills to building passive income streams, ChatGPT's Money-Making Secrets offers a comprehensive roadmap for financial success. Each chapter presents a unique strategy for making money, such as optimizing your online presence, negotiating better rates, diversifying your income streams, and much more. The book is written with a high level of SEO optimization, ensuring that readers can easily find and access the information they need to succeed. The writing style is both thought-provoking and informative, with a good amount of perplexity and burstiness that keeps the reader engaged. Callisto Momesso has masterfully combined the insights of ChatGPT with a human touch, resulting in a book that is both informative and enjoyable to read. Whether you're a seasoned investor or just starting out, "ChatGPT's Money-Making Secrets" provides a clear and actionable guide to transforming your finances. So if you're ready to take control of your financial future, this book is the perfect place to start.
Author: Keikhosrokiani, Pantea
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 514
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Book Description
The convergence of modern technology and social dynamics have shaped the very fabric of today’s organizations, making the role of Business Intelligence (BI) profoundly significant. Data-Driven Business Intelligence Systems for Socio-Technical Organizations delves into the heart of this transformative realm, offering an academic exploration of the tools, strategies, and methodologies that propel enterprises toward data-driven decision-making excellence. Socio-technical organizations, with their intricate interplay between human and technological components, require a unique approach to BI. This book embarks on a comprehensive journey, revealing how BI tools empower these entities to decipher the complexities of their data landscape. From user behavior to social interactions, technological systems to environmental factors, this work sheds light on the multifaceted sources of information that inform organizational strategies. Decision-makers within socio-technical organizations leverage BI insights to discern patterns, spot trends, and uncover correlations that influence operations and the intricate social dynamics within their entities. Research covering real-time monitoring and predictive analytics equips these organizations to respond swiftly to demands and anticipate future trends, harnessing the full potential of data. The book delves into their design, development, and architectural nuances, illuminating these concepts through case studies. This book is ideal for business executives, entrepreneurs, data analysts, marketers, government officials, educators, and researchers.
Author: Sharma, Renuka
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 455
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Book Description
The disruptive potential of technologies such as Artificial Intelligence (AI), blockchain, the Internet of Things (IoT), and biotechnology catalysts redefine traditional business models and serve as instrumental forces in attracting venture capital investments. The lower barriers to entry, facilitated by these disruptive technologies, empower entrepreneurs to bring their ideas to market, creating a more accessible landscape for funding and innovation. Fostering Innovation in Venture Capital and Startup Ecosystems explores this transformative intersection, where emerging technologies catalyze change, fuel innovation, and redefine the dynamics of financial investments and entrepreneurial endeavors. Moreover, the book delves into how embracing AI, IoT, blockchain, and augmented reality/virtual reality can expedite innovation, enhance efficiency, and scale businesses. Through a multidisciplinary lens, readers understand how these technologies influence established markets, drive economic growth, and create job opportunities. This book is ideal for venture capitalists, angel investors, entrepreneurs, startup founders, and policymakers.
Author: George Mount
Publisher: "O'Reilly Media, Inc."
ISBN: 1098148789
Category : Computers
Languages : en
Pages : 238
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Book Description
If you haven't modernized your data cleaning and reporting processes in Microsoft Excel, you're missing out on big productivity gains. And if you're looking to conduct rigorous data analysis, more can be done in Excel than you think. This practical book serves as an introduction to the modern Excel suite of features along with other powerful tools for analytics. George Mount of Stringfest Analytics shows business analysts, data analysts, and business intelligence specialists how to make bigger gains right from your spreadsheets by using Excel's latest features. You'll learn how to build repeatable data cleaning workflows with Power Query, and design relational data models straight from your workbook with Power Pivot. You'll also explore other exciting new features for analytics, such as dynamic array functions, AI-powered insights, and Python integration. Learn how to build reports and analyses that were previously difficult or impossible to do in Excel. This book shows you how to: Build repeatable data cleaning processes for Excel with Power Query Create relational data models and analysis measures with Power Pivot Pull data quickly with dynamic arrays Use AI to uncover patterns and trends from inside Excel Integrate Python functionality with Excel for automated analysis and reporting
