Abstract
The Fourth Industrial Revolution, known as Industry 4.0, has ushered in a transformative era for businesses. This paper presents a pioneering framework for contextual consulting practices tailored to the unique challenges and opportunities posed by Industry 4.0. The framework employs a hybrid data analytics approach, integrating advanced methods such as machine learning, predictive modeling, and real-time data processing to empower decision-making processes and offer actionable insights to businesses operating within Industry 4.0. This approach leverages a hybrid blend of data analytics methods to empower decision-making and deliver actionable insights to industries. This paper offers an in-depth exploration of the framework's architecture, its key components, and its practical effectiveness through a compelling case study.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: i-manager’s Journal on Future Engineering and Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
