"Nowadays, Artificial Intelligence is transforming most failed businesses into highly profitable businesses. The major aspect is historical data. With data and Artificial Intelligence and Knowledge Processing, we can find the current financial status of the organization, predict the future of the organization and if the loss has happened in the past consecutive years, we can know the reason behind the loss. With the help of knowledge processing, we can build decision support systems to make better decisions in business. AI-powered IoT creates intelligent technologies that imitate intelligent human behavior and aid in decision-making with little or no human interaction. AI can read, comprehend, and correlate data at breakneck speed, adding a new level of intelligence to blockchain-based business networks. The major research in Semantics, Artificial Intelligence, and Domain-specific applications are becoming more and more common in our daily lives, and the bulk of knowledge processing is becoming intellectual in a very wide sense. Even Artificial Intelligence with IoT and Blockchain found in a broad range of scenarios, from simple everyday tasks to more complex ones, such as transportation systems, business, finance, and even the medical field. Digital news, relationship networking, and advancements generated from expert decision handling are only a few examples of common usage. This research book seeks to give a broad understanding of the concepts, tools, and techniques that underpin data science, artificial intelligence with IoT and Blockchain and knowledge processing in business and industry"--
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Kamal Hiran is an Innovative and Enthusiastic Academic Professional having more than 14 years of experience in Academic Administration, Teaching and Research experience in India, Europe, and Africa. The editor has worked on various academic positions such as Lecturer, Sr. Lecturer, Asst. Professor, Associate Professor, Head IT, Head Academics, Founder, IEEE Liberia, IEEE Ghana Technical & Professional Activity Chair, IEEE SB Coordinator. The editor has done the tie-up with Academic-Industry collaboration as part of jobs such as Turnitin (Plagiarism Checker), Founder IEEE Student Branch, Ghana, and Oracle WDP. The editor has published and presented research papers in peer-reviewed journals as well as international conferences in India, Denmark, USA, Germany, Jordan, Ghana, and Ethiopia. Working as a Reviewer and Member in the International Program Committee in the International Journals: Journal of Medical and Biological Engineering (JMBE), Springer, Germany, IJCA USA, IGI-Global USA, and IJERT, India.
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Hardback. Zustand: New. Artificial intelligence (AI) is influencing the future of almost every sector and human being. AI has been the primary driving force behind emerging technologies such as big data, blockchain, robots, and the internet of things (IoT), and it will continue to be a technological innovator for the foreseeable future. New algorithms in AI are changing business processes and deploying AI-based applications in various sectors. The Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence is a comprehensive reference that presents cases and best practices of AI and knowledge engineering applications on business intelligence. Covering topics such as deep learning methods, face recognition, and sentiment analysis, this major reference work is a dynamic resource for business leaders and executives, IT managers, AI scientists, students and educators of higher education, librarians, researchers, and academicians. Bestandsnummer des Verkäufers LU-9781668465196
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Hardback. Zustand: New. Artificial intelligence (AI) is influencing the future of almost every sector and human being. AI has been the primary driving force behind emerging technologies such as big data, blockchain, robots, and the internet of things (IoT), and it will continue to be a technological innovator for the foreseeable future. New algorithms in AI are changing business processes and deploying AI-based applications in various sectors. The Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence is a comprehensive reference that presents cases and best practices of AI and knowledge engineering applications on business intelligence. Covering topics such as deep learning methods, face recognition, and sentiment analysis, this major reference work is a dynamic resource for business leaders and executives, IT managers, AI scientists, students and educators of higher education, librarians, researchers, and academicians. Bestandsnummer des Verkäufers LU-9781668465196
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