Cutting-Edge Business Technologies in the Big Data Era: Proceedings of the 18th SICB Sustainability and Cutting-Edge Business Technologies Volume 2 [Hardcover]

This book highlights applied artificial intelligence techniques, tools, and systems to drive strategic advantages, improve operational efficiency, and create added value. The focus is very much on practical applications and how to maximize the value of these technologies. They are being applied across businesses to enhance innovation, improve performance, increase profit, support critical thinking, and ultimately create customer-added value.

 

Whether you are a researcher, manager, or decision-maker, this book provides valuable insights to help you harness the power of AI and big data analytics in your organization. This book attempts to provide answers to the most important questions: Quo Vadis applied artificial intelligence?

Quo Vadis cutting-edge business technologies?

Predicting Obstructive Sleep Apnea Using Deep Learning Algorithms.- On-site Recycling of the Construction Demolition Wastes: Feasibility and Sustainability.- Exploratory Data Analysis of Big Data on Semiconductor Industry.- Capturing the Sectoral Performance in Swiss Economy: An Input-output Structural Decomposition Analysis (SDA).- Sustainability In Conjunction with The Latest Business Technology Advancements.- Sustainability reporting adoption in Jordanian listed firms: Does corporate social responsibility matter?.- Economic Convergence in the Spanish Regions: the Role of the European Funds and the Transport Infrastructure Endowment (1989-2017).- Analysis of learning outcomes of the online classes and their impact on the quality of learning at the Powi[laDski University, Poland.- Artificial intelligence for easing financial analyses.- The Impact of E-Government and Size on Corruption:An Empirical Study on Jordan.- The Bitcoin Market and Post Covid-19: Empirical Evidence from Asian countries.- Maximizing Financial Performance and Sustainability through Innovative Dividend Policies: Evidence from Emerging Marlc(