Many fundamental technological and managerial issues surrounding the development and implementation of intelligent analytics within multi-industry applications remain unsolved. There are still questions surrounding the foundation of intelligent analytics, the elements, the big characteristics, and the effects on business, management, technology, and society. Research is devoted to answering these questions and understanding how intelligent analytics can improve healthcare, mobile commerce, web services, cloud services, blockchain, 5G development, digital transformation, and more.
Intelligent Analytics With Advanced Multi-Industry Applications is a critical reference source that explores cutting-edge theories, technologies, and methodologies of intelligent analytics with multi-industry applications and emphasizes the integration of artificial intelligence, business intelligence, big data, and analytics from a perspective of computing, service, and management. This book also provides real-world applications of the proposed concept of intelligent analytics to e-SMACS (electronic, social, mobile, analytics, cloud, and service) commerce and services, healthcare, the internet of things, the sharing economy, cloud computing, blockchain, and Industry 4.0. This book is ideal for scientists, engineers, educators, university students, service and management professionals, policymakers, decision-makers, practitioners, stakeholders, researchers, and others who have an interest in how intelligent analytics are being implemented and utilized in diverse industries.
Analytics is a key success factor for any business in the competitive and fast-changing world we live in. Using analytics, people, business, social, and government organizations become capable of understanding the past, including lessons from faults and achievements; realize current strengths, weaknesses, opportunities, and threats; and predict the future. Intelligent analytics allow doing these more effectively and efficiently. Modern analytics uses many advanced techniques like big data, artificial intelligence, and many others. The chapter “Hybrid Intelligence Framework for Augmented Analytics” aims is to introduce the hybrid intelligence approach by focusing on its unique analytical capabilities.
More info at:
Intelligent Analytics With Advanced Multi-Industry Applications - https://www.igi-global.com/book/intelligent-analytics-advanced-multi-industry/244632
Hybrid Intelligence Framework for Augmented Analytics - https://www.igi-global.com/chapter/hybrid-intelligence-framework-for-augmented-analytics/272777