Transforming Management with AI, Big-Data, and IoT - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Transforming Management with AI, Big-Data, and IoT write by Fadi Al-Turjman. This book was released on 2022-02-17. Transforming Management with AI, Big-Data, and IoT available in PDF, EPUB and Kindle. This book discusses the effect that artificial intelligence (AI) and Internet of Things (IoT) have on industry. The authors start by showing how the application of these technologies has already stretched across domains such as law, political science, policy, and economics and how it will soon permeate areas of autonomous transportation, education, and space exploration, only to name a few. The authors then discuss applications in a variety of industries. Throughout the volume, the authors provide detailed, well-illustrated treatments of each topic with abundant examples and exercises. This book provides relevant theoretical frameworks and the latest empirical research findings in various applications. The book is written for professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society, that is, trust at the level of the global economy, of networks and organizations, of teams and work groups, of information systems and, finally, trust at the level of individuals as actors in the networked environments. Presents research in various industries and how artificial intelligence and Internet of Things is changing the landscape of business and management; Includes new and innovative features in artificial intelligence and IoT that can help in raising economic efficiency at both micro and macro levels; Examines case studies with tried and tested approaches to resolution of typical problems in each application of study.
Transforming Healthcare with Big Data and AI
Transforming Healthcare with Big Data and AI - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Transforming Healthcare with Big Data and AI write by Mingbo Gong. This book was released on 2020-04-01. Transforming Healthcare with Big Data and AI available in PDF, EPUB and Kindle. 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.
Digital Transformation: IoT, AI, VR, Big Data
Digital Transformation: IoT, AI, VR, Big Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Digital Transformation: IoT, AI, VR, Big Data write by Коллектив авторов. This book was released on 2021-04-07. Digital Transformation: IoT, AI, VR, Big Data available in PDF, EPUB and Kindle. 18-19 апреля 2019 г. в Институте отраслевого менеджмента РАНХиГС при Президенте РФ состоялась XII международная студенческая научно-практическая конференция «Цифровая трансформация: IoT, AI, VR, Big Data», объединившая более 150 студентов РАНХиГС и других вузов.В работе конференции приняли участие российские и зарубежные эксперты таких компаний сфер IT, цифровых технологий и инноваций, как «Atos» (Франция), «Билайн» (Россия), «МШУ СКОЛКОВО» (Россия), «Cisco» (США), «Neurotrend» (Россия), «FESTO Didactic» (Германия), «EligoVision» (Россия), «ЭСКО СВЕТ» (Россия), было представлено более 40 студенческих докладов на английском и русском языках.В сборнике представлены научно-исследовательские работы студентов и аспирантов в рамках следующих тем: «Умный город», «Новые технологии в индустрии гостеприимства», «Индустрия 4.0» и «Стратегии цифровой трансформации в туризме и спорте». Авторами работ были проанализированы вызовы для современных отраслей и компаний, основные риски и препятствия для развития цифровой трансформации, примеры и концепции использования цифровых технологий в различных отраслях и сферах деятельности, а также даны прогнозы будущего развития бизнеса в новой цифровой реальности.
Big data management in Sensing
Big data management in Sensing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big data management in Sensing write by Renny Fernandez. This book was released on 2022-09-01. Big data management in Sensing available in PDF, EPUB and Kindle. The book is centrally focused on human computer Interaction and how sensors within small and wide groups of Nano-robots employ Deep Learning for applications in industry. It covers a wide array of topics that are useful for researchers and students to gain knowledge about AI and sensors in nanobots. Furthermore, the book explores Deep Learning approaches to enhance the accuracy of AI systems applied in medical robotics for surgical techniques. Secondly, we plan to explore bio-nano-robotics, which is a field in nano-robotics, that deals with automatic intelligence handling, self-assembly and replication, information processing and programmability.
AI-Driven IoT Systems for Industry 4.0
AI-Driven IoT Systems for Industry 4.0 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook AI-Driven IoT Systems for Industry 4.0 write by Deepa Jose. This book was released on 2024-07-30. AI-Driven IoT Systems for Industry 4.0 available in PDF, EPUB and Kindle. The purpose of this book is to discuss the trends and key drivers of Internet of Things (IoT) and artificial intelligence (AI) for automation in Industry 4.0. IoT and AI are transforming the industry thus accelerating efficiency and forging a more reliable automated enterprise. AI-driven IoT systems for Industry 4.0 explore current research to be carried out in the cutting-edge areas of AI for advanced analytics, integration of industrial IoT (IIoT) solutions and Edge components, automation in cyber-physical systems, world leading Industry 4.0 frameworks and adaptive supply chains, etc. A thorough exploration of Industry 4.0 is provided, focusing on the challenges of digital transformation and automation. It covers digital connectivity, sensors, and the integration of intelligent thinking and data science. Emphasizing the significance of AI, the chapter delves into optimal decision-making in Industry 4.0. It extensively examines automation and hybrid edge computing architecture, highlighting their applications. The narrative then shifts to IIoT and edge AI, exploring their convergence and the use of edge AI for visual insights in smart factories. The book concludes by discussing the role of AI in constructing digital twins, speeding up product development lifecycles, and offering insights for decision-making in smart factories. Throughout, the emphasis remains on the transformative impact of deep learning and AI in automating and accelerating manufacturing processes within the context of Industry 4.0. This book is intended for undergraduates, postgraduates, academicians, researchers, and industry professionals in industrial and computer engineering.
