Artificial Intelligence Ai Technologies Standard Requirements


Artificial Intelligence Ai Technologies Standard Requirements
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Artificial Intelligence Ai Technologies Standard Requirements


Artificial Intelligence Ai Technologies Standard Requirements
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Author : Gerardus Blokdyk
language : en
Publisher: 5starcooks
Release Date : 2019-03-05

Artificial Intelligence Ai Technologies Standard Requirements written by Gerardus Blokdyk and has been published by 5starcooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-05 with categories.


Is supporting Artificial Intelligence AI Technologies documentation required? How do you cross-sell and up-sell your Artificial Intelligence AI Technologies success? To what extent does each concerned units management team recognize Artificial Intelligence AI Technologies as an effective investment? Will new equipment/products be required to facilitate Artificial Intelligence AI Technologies delivery, for example is new software needed? Are there any specific expectations or concerns about the Artificial Intelligence AI Technologies team, Artificial Intelligence AI Technologies itself? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Artificial Intelligence AI Technologies investments work better. This Artificial Intelligence AI Technologies All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Artificial Intelligence AI Technologies Self-Assessment. Featuring 673 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Artificial Intelligence AI Technologies improvements can be made. In using the questions you will be better able to: - diagnose Artificial Intelligence AI Technologies projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Artificial Intelligence AI Technologies and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Artificial Intelligence AI Technologies Scorecard, you will develop a clear picture of which Artificial Intelligence AI Technologies areas need attention. Your purchase includes access details to the Artificial Intelligence AI Technologies self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Artificial Intelligence AI Technologies Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.



Machines We Trust


Machines We Trust
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Author : Marcello Pelillo
language : en
Publisher: MIT Press
Release Date : 2021-08-24

Machines We Trust written by Marcello Pelillo and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-24 with Computers categories.


Experts from disciplines that range from computer science to philosophy consider the challenges of building AI systems that humans can trust. Artificial intelligence-based algorithms now marshal an astonishing range of our daily activities, from driving a car ("turn left in 400 yards") to making a purchase ("products recommended for you"). How can we design AI technologies that humans can trust, especially in such areas of application as law enforcement and the recruitment and hiring process? In this volume, experts from a range of disciplines discuss the ethical and social implications of the proliferation of AI systems, considering bias, transparency, and other issues. The contributors, offering perspectives from computer science, engineering, law, and philosophy, first lay out the terms of the discussion, considering the "ethical debts" of AI systems, the evolution of the AI field, and the problems of trust and trustworthiness in the context of AI. They go on to discuss specific ethical issues and present case studies of such applications as medicine and robotics, inviting us to shift the focus from the perspective of a "human-centered AI" to that of an "AI-decentered humanity." Finally, they consider the future of AI, arguing that, as we move toward a hybrid society of cohabiting humans and machines, AI technologies can become humanity's allies.



Transforming Healthcare With Big Data And Ai


Transforming Healthcare With Big Data And Ai
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Author : Mingbo Gong
language : en
Publisher: IAP
Release Date : 2020-04-01

Transforming Healthcare With Big Data And Ai written by Mingbo Gong and has been published by IAP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-01 with Computers categories.


Healthcare and technology are at a convergence point where significant changes are poised to take place. The vast and complex requirements of medical record keeping, coupled with stringent patient privacy laws, create an incredibly unwieldy maze of health data needs. While the past decade has seen giant leaps in AI, machine learning, wearable technologies, and data mining capacities that have enabled quantities of data to be accumulated, processed, and shared around the globe. Transforming Healthcare with Big Data and AI examines the crossroads of these two fields and looks to the future of leveraging advanced technologies and developing data ecosystems to the healthcare field. This book is the product of the Transforming Healthcare with Data conference, held at the University of Southern California. Many speakers and digital healthcare industry leaders contributed multidisciplinary expertise to chapters in this work. Authors’ backgrounds range from data scientists, healthcare experts, university professors, and digital healthcare entrepreneurs. If you have an understanding of data technologies and are interested in the future of Big Data and A.I. in healthcare, this book will provide a wealth of insights into the new landscape of healthcare.



Artificial Intelligence


Artificial Intelligence
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Author : Christian Farsley
language : en
Publisher: Self Publisher
Release Date : 2020-04-10

Artificial Intelligence written by Christian Farsley and has been published by Self Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-10 with Technology & Engineering categories.


In this comprehensive guide, you'll learn the basics about: - The applications we have in AI. - How AI can be a threat and an opportunity. - The historical context of AI. - The effects AI can have on the future. - How AI is applied in marketing. - What big data and neural networks are. - Generation Z and the uses of AI. And a lot more. Don't wait and give yourself this knowledge by getting the book.



Artificial Intelligence Of Things Aiot


Artificial Intelligence Of Things Aiot
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Author : Kashif Naseer Qureshi
language : en
Publisher: CRC Press
Release Date : 2024-04-05

Artificial Intelligence Of Things Aiot written by Kashif Naseer Qureshi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-05 with Computers categories.


This book is devoted to the new standards, technologies, and communication systems for Artificial Intelligence of Things (AIoT) networks. Smart and intelligent communication networks have gained significant attention due to the combination of AI and IoT networks to improve human and machine interfaces and enhance data processing and services. AIoT networks involve the collection of data from several devices and sensor nodes in the environment. AI can enhance these networks to make them faster, greener, smarter, and safer. Computer vision, language processing, and speech recognition are some examples of AIoT networks. Due to a large number of devices in today’s world, efficient and intelligent data processing is essential for problem-solving and decision-making. AI multiplies the value of these networks and promotes intelligence and learning capabilities, especially in homes, offices, and cities. However, several challenges have been observed in deploying AIoT networks, such as scalability, complexity, accuracy, and robustness. In addition, these networks are integrated with cloud, 5G networks, and blockchain methods for service provision. Many different solutions have been proposed to address issues related to machine and deep learning methods, ontology-based approaches, genetic algorithms, and fuzzy-based systems. This book aims to contribute to the state of the art and present current standards, technologies, and approaches for AIoT networks. This book focuses on existing solutions in AIoT network technologies, applications, services, standards, architectures, and security provisions. This book also introduces some new architectures and models for AIoT networks.



Artificial Intelligence And Machine Learning For Business For Non Engineers


Artificial Intelligence And Machine Learning For Business For Non Engineers
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Author : Stephan S. Jones
language : en
Publisher: CRC Press
Release Date : 2019-11-22

Artificial Intelligence And Machine Learning For Business For Non Engineers written by Stephan S. Jones and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-22 with Computers categories.


The next big area within the information and communication technology field is Artificial Intelligence (AI). The industry is moving to automate networks, cloud-based systems (e.g., Salesforce), databases (e.g., Oracle), AWS machine learning (e.g., Amazon Lex), and creating infrastructure that has the ability to adapt in real-time to changes and learn what to anticipate in the future. It is an area of technology that is coming faster and penetrating more areas of business than any other in our history. AI will be used from the C-suite to the distribution warehouse floor. Replete with case studies, this book provides a working knowledge of AI’s current and future capabilities and the impact it will have on every business. It covers everything from healthcare to warehousing, banking, finance and education. It is essential reading for anyone involved in industry.



Artificial Intelligence


Artificial Intelligence
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Author : Tencent Research Institute
language : en
Publisher: Springer Nature
Release Date : 2020-10-01

Artificial Intelligence written by Tencent Research Institute and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-01 with Political Science categories.


This book begins with the past and present of the subversive technology of artificial intelligence, clearly analyzes the overall picture, latest developments and development trends of the artificial intelligence industry, and conducts in-depth research on the competitive situation of various countries. The book also provides an in-depth analysis of the opportunities and challenges that artificial intelligence brings to individuals, businesses, and society. For readers who want to fully understand artificial intelligence, this book provides an important reference and is a must-read.



Regulating Artificial Intelligence


Regulating Artificial Intelligence
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Author : Dominika Ewa Harasimiuk
language : en
Publisher: Routledge
Release Date : 2021-02-09

Regulating Artificial Intelligence written by Dominika Ewa Harasimiuk and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-09 with Law categories.


Exploring potential scenarios of artificial intelligence regulation which prevent automated reality harming individual human rights or social values, this book reviews current debates surrounding AI regulation in the context of the emerging risks and accountabilities. Considering varying regulatory methodologies, it focuses mostly on EU’s regulation in light of the comprehensive policy making process taking place at the supranational level. Taking an ethics and humancentric approach towards artificial intelligence as the bedrock of future laws in this field, it analyses the relations between fundamental rights impacted by the development of artificial intelligence and ethical standards governing it. It contains a detailed and critical analysis of the EU’s Ethic Guidelines for Trustworthy AI, pointing at its practical applicability by the interested parties. Attempting to identify the most transparent and efficient regulatory tools that can assure social trust towards AI technologies, the book provides an overview of horizontal and sectoral regulatory approaches, as well as legally binding measures stemming from industries’ self-regulations and internal policies.



Risk Modeling


Risk Modeling
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Author : Terisa Roberts
language : en
Publisher: John Wiley & Sons
Release Date : 2022-09-20

Risk Modeling written by Terisa Roberts and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-20 with Business & Economics categories.


A wide-ranging overview of the use of machine learning and AI techniques in financial risk management, including practical advice for implementation Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning introduces readers to the use of innovative AI technologies for forecasting and evaluating financial risks. Providing up-to-date coverage of the practical application of current modelling techniques in risk management, this real-world guide also explores new opportunities and challenges associated with implementing machine learning and artificial intelligence (AI) into the risk management process. Authors Terisa Roberts and Stephen Tonna provide readers with a clear understanding about the strengths and weaknesses of machine learning and AI while explaining how they can be applied to both everyday risk management problems and to evaluate the financial impact of extreme events such as global pandemics and changes in climate. Throughout the text, the authors clarify misconceptions about the use of machine learning and AI techniques using clear explanations while offering step-by-step advice for implementing the technologies into an organization's risk management model governance framework. This authoritative volume: Highlights the use of machine learning and AI in identifying procedures for avoiding or minimizing financial risk Discusses practical tools for assessing bias and interpretability of resultant models developed with machine learning algorithms and techniques Covers the basic principles and nuances of feature engineering and common machine learning algorithms Illustrates how risk modeling is incorporating machine learning and AI techniques to rapidly consume complex data and address current gaps in the end-to-end modelling lifecycle Explains how proprietary software and open-source languages can be combined to deliver the best of both worlds: for risk models and risk practitioners Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning is an invaluable guide for CEOs, CROs, CFOs, risk managers, business managers, and other professionals working in risk management.



Artificial Intelligence To Solve Pervasive Internet Of Things Issues


Artificial Intelligence To Solve Pervasive Internet Of Things Issues
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Author : Gurjit Kaur
language : en
Publisher: Academic Press
Release Date : 2020-11-18

Artificial Intelligence To Solve Pervasive Internet Of Things Issues written by Gurjit Kaur and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-18 with Science categories.


Artificial Intelligence to Solve Pervasive Internet of Things Issues discusses standards and technologies and wide-ranging technology areas and their applications and challenges, including discussions on architectures, frameworks, applications, best practices, methods and techniques required for integrating AI to resolve IoT issues. Chapters also provide step-by-step measures, practices and solutions to tackle vital decision-making and practical issues affecting IoT technology, including autonomous devices and computerized systems. Such issues range from adopting, mitigating, maintaining, modernizing and protecting AI and IoT infrastructure components such as scalability, sustainability, latency, system decentralization and maintainability. The book enables readers to explore, discover and implement new solutions for integrating AI to solve IoT issues. Resolving these issues will help readers address many real-world applications in areas such as scientific research, healthcare, defense, aeronautics, engineering, social media, and many others. Discusses intelligent techniques for the implementation of Artificial Intelligence in Internet of Things Prepared for researchers and specialists who are interested in the use and integration of IoT and Artificial Intelligence technologies