[E-Book] AI in Healthcare by Robert ShimonskiThe best source for cutting-edge insights into AI in healthcare operations AI in Healthcare: How Artificial Intelligence Is Changing IT Operations and Infrastructure Services collects, organizes and provides the latest, most up-to-date research on the emerging technology of artificial intelligence as it is applied to healthcare operations. Written by a world-leading technology executive specializing in healthcare IT, this book provides concrete examples and practical advice on how to deploy artificial intelligence solutions in your healthcare environment. AI in Healthcare reveals to readers how they can take advantage of connecting real-time event correlation and response automation to minimize IT disruptions in critical healthcare IT functions. This book provides in-depth coverage of all the most important and central topics in the healthcare applications of artificial intelligence, including: Healthcare IT AI Clinical Operations AI Operational Infrastructure Project Planning Metrics, Reporting, and Service Performance AIOps in Automation AIOps Cloud Operations Future of AI Written in an accessible and straightforward style, this book will be invaluable to IT managers, administrators, and engineers in healthcare settings, as well as anyone with an interest or stake in healthcare technology.
ISBN: 9781119680055
Publication Date: 2021
[E-Book] A Machine Learning, Artificial Intelligence Approach to Institutional Effectiveness in Higher Education by John N. MoyeThe Institutional Research profession is currently experimenting with many strategies to assess institutional effectiveness in a manner that reflects the letter and spirit of their unique mission, vision, and values. While a "best-practices" approach to the measurement and assessment of institutional functions is prevalent in the literature, a machine learning approach that synthesizes these parts into a coherent and synergistic approach has not emerged. A Machine Learning, Artificial Intelligence Approach to Institutional Effectiveness in Higher Educationpresents a practical, effective, and systematic approach to the measurement, assessment, and sensemaking of institutional performance. Included are instruments and strategies to measure and assess the performance of Curriculum, Learning, Instruction, Support Services, and Program Feasibility as well as a meaningful Environmental Scanning method. The data collected in this system are organized into assessments of institutional effectiveness through the application of machine learning data processes that create an artificial intelligence model of actual institutional performance from the raw performance data. This artificial intelligence is visualized through five organizational sensemaking approaches to monitor, demonstrate, and improve institutional performance. Thus, this book provides a set of tools that can be adopted or adapted to the specific intentions of any institution, making it an invaluable resource for Higher Education administrators, leaders and practitioners.
ISBN: 9781789738995
Publication Date: 2019
[E-Book] Application of Artificial Intelligence to Assessment (HC) by Hong Jiao (Editor); Robert W. Lissitz (Editor)The general theme of this book is to present the applications of artificial intelligence (AI) in test development. In particular, this book includes research and successful examples of using AI technology in automated item generation, automated test assembly, automated scoring, and computerized adaptive testing. By utilizing artificial intelligence, the efficiency of item development, test form construction, test delivery, and scoring could be dramatically increased. Chapters on automated item generation offer different perspectives related to generating a large number of items with controlled psychometric properties including the latest development of using machine learning methods. Automated scoring is illustrated for different types of assessments such as speaking and writing from both methodological aspects and practical considerations. Further, automated test assembly is elaborated for the conventional linear tests from both classical test theory and item response theory perspectives. Item pool design and assembly for the linear-on-the-fly tests elaborates more complications in practice when test security is a big concern. Finally, several chapters focus on computerized adaptive testing (CAT) at either item or module levels. CAT is further illustrated as an effective approach to increasing test-takers' engagement in testing. In summary, the book includes both theoretical, methodological, and applied research and practices that serve as the foundation for future development. These chapters provide illustrations of efforts to automate the process of test development. While some of these automation processes have become common practices such as automated test assembly, automated scoring, and computerized adaptive testing, some others such as automated item generation calls for more research and exploration. When new AI methods are emerging and evolving, it is expected that researchers can expand and improve the methods for automating different steps in test development to enhance the automation features and practitioners can adopt quality automation procedures to improve assessment practices.
ISBN: 9781641139526
Publication Date: 2020
[E-Book] Artificial Intelligence Supported Educational Technologies by Niels Pinkwart (Editor); Sannyuya Liu (Editor)This book includes a collection of expanded papers from the 2019 Sino-German Symposium on AI-supported educational technologies, which was held in Wuhan, China, March, 2019. The contributors are distinguished researchers from computer science and learning science. The contributions are organized in four sections: (1) Overviews and systematic perspectives , (2) Example Systems, (3) Algorithms, and (4) Insights gained from empirical studies. For example, different data mining and machine learning methods to quantify different profiles of a learner in different learning situations (including interaction patterns, cognitive modes, knowledge skills, interests and emotions etc.) as well as connections to measurements in psychology and learning sciences are discussed in the chapters.
ISBN: 9783030410988
Publication Date: 2020
[E-Book] Hands-On Artificial Intelligence for Banking by Jeffrey Ng CFA; Subhash ShahDelve into the world of real-world financial applications using deep learning, artificial intelligence, and production-grade data feeds and technology with Python Key Features Understand how to obtain financial data via Quandl or internal systems Automate commercial banking using artificial intelligence and Python programs Implement various artificial intelligence models to make personal banking easy Book Description Remodeling your outlook on banking begins with keeping up to date with the latest and most effective approaches, such as artificial intelligence (AI). Hands-On Artificial Intelligence for Banking is a practical guide that will help you advance in your career in the banking domain. The book will demonstrate AI implementation to make your banking services smoother, more cost-efficient, and accessible to clients, focusing on both the client- and server-side uses of AI. You'll begin by understanding the importance of artificial intelligence, while also gaining insights into the recent AI revolution in the banking industry. Next, you'll get hands-on machine learning experience, exploring how to use time series analysis and reinforcement learning to automate client procurements and banking and finance decisions. After this, you'll progress to learning about mechanizing capital market decisions, using automated portfolio management systems and predicting the future of investment banking. In addition to this, you'll explore concepts such as building personal wealth advisors and mass customization of client lifetime wealth. Finally, you'll get to grips with some real-world AI considerations in the field of banking. By the end of this book, you'll be equipped with the skills you need to navigate the finance domain by leveraging the power of AI. What you will learn Automate commercial bank pricing with reinforcement learning Perform technical analysis using convolutional layers in Keras Use natural language processing (NLP) for predicting market responses and visualizing them using graph databases Deploy a robot advisor to manage your personal finances via Open Bank API Sense market needs using sentiment analysis for algorithmic marketing Explore AI adoption in banking using practical examples Understand how to obtain financial data from commercial, open, and internal sources Who this book is for This is one of the most useful artificial intelligence books for machine learning engineers, data engineers, and data scientists working in the finance industry who are looking to implement AI in their business applications. The book will also help entrepreneurs, venture capitalists, investment bankers, and wealth managers who want to understand the importance of AI in finance and banking and how it can help them solve different problems related to these domains. Prior experience in the financial markets or banking domain, and working knowledge of the Python programming language are a must.
ISBN: 9781788830782
Publication Date: 2020
[E-Book] The AI Advantage by Thomas H. DavenportCutting through the hype, a practical guide to using artificial intelligence for business benefits and competitive advantage. In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze--remember when it seemed plausible that IBM's Watson could cure cancer?--to explain how businesses can put artificial intelligence to work now, in the real world. His key recommendation: don't go for the "moonshot" (curing cancer, or synthesizing all investment knowledge); look for the "low-hanging fruit" to make your company more efficient. Davenport explains that the business value AI offers is solid rather than sexy or splashy. AI will improve products and processes and make decisions better informed--important but largely invisible tasks. AI technologies won't replace human workers but augment their capabilities, with smart machines to work alongside smart people. AI can automate structured and repetitive work; provide extensive analysis of data through machine learning ("analytics on steroids"), and engage with customers and employees via chatbots and intelligent agents. Companies should experiment with these technologies and develop their own expertise. Davenport describes the major AI technologies and explains how they are being used, reports on the AI work done by large commercial enterprises like Amazon and Google, and outlines strategies and steps to becoming a cognitive corporation. This book provides an invaluable guide to the real-world future of business AI. A book in the Management on the Cutting Edge series, published in cooperation with MIT Sloan Management Review.
ISBN: 9780262350631
Publication Date: 2018
Books
Artificial Intelligence by Lasse RouhiainenDid you know that artificial intelligence is changing our world faster than we can imagine? It will impact every area of our lives. And this is happening whether we like it or not. Artificial intelligence will help us do almost everything better, faster and cheaper, and it will profoundly change industries such as transportation, tourism, healthcare, education, retail, agriculture, finance, sales and marketing. In fact, AI will dramatically change our entire society. You might have heard that many jobs will be replaced by automation and robots, but did you also know that at the same time a huge number of new jobs will be created by AI? This book covers many fascinating and timely topics related to artificial intelligence, including: self-driving cars, robots, chatbots, and how AI will impact the job market, business processes, and entire industries, just to name a few. This book is divided into ten chapters: Chapter I: Introduction to Artificial Intelligence Chapter II: How Artificial Intelligence Is Changing Many Industries Chapter III: How Artificial Intelligence Is Changing Business Processes Chapter IV: Chatbots and How They Will Change Communication Chapter V: How Artificial Intelligence Is Changing the Job Market Chapter VI: Self-Driving Cars and How They Will Change Traffic as We Know It Chapter VII: Robots and How They Will Change Our Lives Chapter VIII: Artificial Intelligence Activities of Big Technology Companies Chapter IX: Frequently Asked Questions About Artificial Intelligence Part I Chapter X: Frequently Asked Questions About Artificial Intelligence Part II To enhance your learning experience and help make the concepts easier to understand, there are more than 85 visual presentations included throughout the book. You will learn the answers to 101 questions about artificial intelligence, and also have access to a large number of resources, ideas and tips that will help you to understand how artificial intelligence will change our lives. Who is this book for? Managers and business professionals Marketers and influencers Entrepreneurs and startups Consultants and coaches Educators and teachers Students and life-long learners And everyone else who is interested in our future. Are you ready to discover how artificial intelligence will impact your life? This guidebook offers a multitude of tools, techniques and strategies that every business and individual can quickly apply and benefit from.
Call Number: Q335 R856
ISBN: 9781982048808
Publication Date: 2018
Artificial Intelligence for HR by Ben EubanksHR professionals need to get to grips with artificial intelligence and the way it's changing the world of work. From using natural language processing to ensure job adverts are free from bias and gendered language to implementing chatbots to enhance the employee experience, AI has created a variety of opportunities for the HR function. Artificial Intelligence for HR empowers HR professionals to leverage this potential and use AI to improve efficiency and develop a talented and productive workforce. Outlining the current technology landscape as well as the latest AI developments, this book ensures that HR professionals fully understand what AI is and what it means for HR in practice. Covering everything from recruitment and retention to employee engagement and learning and development, Artificial Intelligence for HR outlines the value AI can add to HR. It also features discussions on the challenges that can arise from AI and how to deal with them, including data privacy, algorithmic bias and how to develop the skills of a workforce with the rise of automation, robotics and machine learning in order to make it more human, not less. Packed with practical advice, research and case studies from global organizations including Uber, IBM and Unilever, this book will equip HR professionals with the knowledge they need to leverage AI to recruit and develop a successful workforce and help their businesses thrive in the future.
Call Number: HF5549 E86
ISBN: 9780749483814
Publication Date: 2018
Journal Articles- AI: ethics and regulation
Artificial intelligence for decision-makersWe propose an exercise with the purpose of providing a basic understanding of key concepts within AI and extending the understanding of AI beyond mathematics. The exercise allows participants to carry out analysis based on accounting data using visualization tools as well as to develop their own machine learning algorithms that can mimic their decisions. Finally, we also problematize the use of AI in decision-making, with such aspects as biases in data and/or ethical concerns.
How is the patent world responding to the AI revolution?There is no doubt that artificial intelligence (AI) is creeping into our lives slowly, but surely. From an outlier in the practical world for the past 60 years, AI is now driving developments in technology and business globally. In 2016, AI was identified as one of the technological breakthroughs that will drive the Fourth Industrial Revolution which is slated to significantly improve quality of life on a global scale while raising income levels. Recent numbers support this proposition as it is believed that, by 2020, AI will drive up to US$33 trillion of annual global economic growth. The speed at which AI will transform businesses will not only have an impact on customers/users but it will have a profound impact on how technology associated with the acceleration of innovation and disruption of businesses is created, protected and monetised.
Can AI be an inventor?The article examines whether inventions solely made by artificial intelligence (AI) inventors caT be protected through filing a patent application and be granted, just like those made by human beings. Topics discussed include advantages of AI, issues that arise from a global push towards incorporating technical solutions created by AI into patent law scope, and information on DABUS, an AI system developed by American AI expert, Stephen Thaler.
Journal Articles- AI: biases
Revolutionary but a big business riskThe article presents the Allianz Risk Barometer 2018 on the impact of artificial intelligence (AI) in business. According to Allianz, the effect of AI and other technologies ranks as the seventh-top risk in business, ahead of climate change and political risk. Allianz observes that autonomous chatbots that are being trained on language texts are prone to perpetuate human unfairness and prejudices.