 | Artificial Intelligence and Machine Learning for Business for Non-Engineers Subjects: Computer Science; Engineering & Technology; Management of IT; Artificial Intelligence; Electrical & Electronic Engineering; Systems & Control Engineering; Computational Linguistic & Language Recognition; Machine Learning - Design; Neural Networks; Machine Learning; Electrical Engineering Communications; 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. Frank M. Groom, PhD, is a professor in the Graduate Center for Information and Communication Science at Ball State University. His research is concentrated in the areas of high-bandwidth networking, distributed systems, and the storage of multimedia objects. Stephan S. Jones , PhD, is the director of the Center for Information and Communication Sciences, where he is also a professor delivering core technology courses in the graduate-only program. His industry experience is as a field engineer and owner of a telecommunications company providing voice and data solutions for business/commercial systems in the Midwest. |
