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Artificial Intelligence for Business Optimization

Bhuvan Unhelkar | Tad Gonsalves
€100.99
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A01=Bhuvan Unhelkar
A01=Tad Gonsalves
AI System
artificial intelligence implementation strategies
Author_Bhuvan Unhelkar
Author_Tad Gonsalves
Autonomous Driving
AV Technology
Big Data
BO
BO Strategy
Business Agility
Business Process
Category=KJC
Category=KJMV6
Category=UB
Category=UR
Category=UTF
Category=UYF
Category=UYQ
Composite Agile Method
Cybersecurity Strategies
Data Augmentation
Data Driven Decision Making
data governance frameworks
DBSCAN Algorithm
Digital Business
Digital Business Strategy
digital transformation
enterprise automation
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Fine Granular Analytics
GDPR
GRC
IoT Device
Ml Algorithm
Ml Model
Optimized Business Processes
organizational change management
predictive analytics
risk assessment methodologies
Self-driving Cars
Self-driving Vehicles
Unstructured Data

Product details

  • ISBN 9780367638368
  • Weight: 580g
  • Dimensions: 156 x 234mm
  • Publication Date: 10 Aug 2021
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Description

This book explains how AI and Machine Learning can be applied to help businesses solve problems, support critical thinking and ultimately create customer value and increase profit.

By considering business strategies, business process modeling, quality assurance, cybersecurity, governance and big data and focusing on functions, processes, and people’s behaviors it helps businesses take a truly holistic approach to business optimization. It contains practical examples that make it easy to understand the concepts and apply them.

It is written for practitioners (consultants, senior executives, decision-makers) dealing with real-life business problems on a daily basis, who are keen to develop systematic strategies for the application of AI/ML/BD technologies to business automation and optimization, as well as researchers who want to explore the industrial applications of AI and higher-level students.

About Bhuvan Unhelkar | Tad Gonsalves
Dr Bhuvan Unhelkar (BE, MDBA, MSc, PhD, FACS) has extensive strategic and hands- on professional experience in the Information and Communication Technologies (ICT) industry. He is a full Professor and lead faculty of IT at the University of South Florida Sarasota-Manatee (USFSM), and is the founder and Consultant at MethodScience and PlatiFi. He is also an adjunct Professor at Western Sydney University, Australia and an honorary Professor at Amity University, India . His current industrial research interests include AI and ML in Business Optimization, Big Data and business value and Business Analysis in the context of Agile. Dr. Unhelkar holds a Certificate-IV in TAA and TAE, Professional Scrum Master - I, SAFe (Scaled Agile Framework for Enterprise) Leader and is a Certified Business Analysis Professional® (CBAP of the IIBA). Tad Gonsalves is full Professor in the Department of Information & Communication Sciences, Sophia University, Tokyo, Japan. Dr. Gonsalves' research areas include Bio-inspired Optimization techniques and application of Deep Learning techniques to diverse problems like autonomous driving, drones, digital art and computational linguistics. He holds a BS in theoretical Physics and MS in Astrophysics and earned his PhD in Information Systems from Sophia University, Tokyo, Japan. His research lab in Tokyo specializes in multi-GPU computing. Dr. Gonsalves is the author of Introduction to AI: A Non-Technical Introduction, (Sophia Univ. Press, 2017) which serves as a standard AI textbook for the university curriculum.

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