|
Showing 1 - 2 of
2 matches in All Departments
This book brings insight to the HR management system and offers
data-centric approaches and AI-enabled applications for the design
and implementation strategies used for workforce development and
management. Designing Workforce Management Systems for Industry
4.0: Data-Centric and AI-Enabled Approaches focuses on the
mechanisms of proposing solutions along with architectural
concepts, design principles, smart solutions, and intelligent
predictions with visualization simulation. Data visualization for
the metrics of management systems and robotic process automation
applications and tools are also offered. This book is also useful
as a reference for those involved in AI-enabled applications, data
analytics, data visualization, as well as systems engineering and
systems designing.
This book shares new methodologies, technologies, and practices for
resolving issues associated with leveraging AI-centric modeling,
data analytics, ML-aided models, IoT-driven applications, and
cybersecurity techniques in the era of the Industrial Revolution
4.0. AI-Centric Modeling and Analytics: Concepts, Technologies, and
Applications focuses on how to implement solutions using models and
techniques to gain insights, predict outcomes, and make informed
decisions. The book presents advanced AI-centric modeling and
analysis techniques that facilitate data analytics and learning in
various applications. It offers fundamental concepts of advanced
techniques, technologies, and tools along with the concept of
real-time analysis systems. It also includes AI-centric approaches
for the overall innovation, development, and implementation of
business development and management systems along with discussing
AI-centric robotics process automation systems that are useful in
many government and private industries. This reference book targets
a mixed audience of engineers and business analysts, researchers,
professionals, and students across various fields.
|
|