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AI-Driven Workflow Automation for Large-Scale Data Processing: Challenges and Future Directions
ISBN Book

AI-Driven Workflow Automation for Large-Scale Data Processing: Challenges and Future Directions

Author:
Rahul Cherekar

ISBN: 978-93-49929-46-3

DOI: https://doi.org/10.63282/978-93-49929-46-3


This book explores the integration of AI with workflow automation, providing a detailed examination of cutting-edge tools, intelligent orchestration systems, and scalable architectures that are revolutionising industries. From AI-powered data pipelines and automated decision-making to real-time analytics and self-optimising infrastructure, the book bridges theoretical concepts with practical applications.

Key topics include:
• Intelligent workflow design and orchestration
• AI algorithms for data extraction, transformation, and analysis
• Automation in cloud-native and distributed environments
• Scalability, fault-tolerance, and performance optimization
• Ethical implications, governance, and AI transparency


Rahul Cherekar is an accomplished engineering manager and technical product leader with over a decade of experience spearheading large-scale, global technology initiatives from inception to successful launch. He is an IEEE Senior Member, recognized for his outstanding contributions to the field of engineering and technology. With a remarkable track record of delivering complex projects on time, within budget, and exceeding performance benchmarks, Rahul combines technical depth with strategic vision. Backed by 20+ years of experience in designing and developing high-performance, scalable applications, he is known for his hands-on approach to system architecture, workflow optimization, and digital transformation. His proficient analytical skills enable him to swiftly identify inefficiencies and craft innovative solutions to complex engineering problems.


Title: AI-Driven Workflow Automation for Large-Scale Data Processing: Challenges and Future Directions
Author: Rahul Cherekar
Publisher: ScienceTech Xplore
Copyright: ScienceTech Xplore
Language: English
Publication Format: Online
ISBN: 978-93-49929-46-3
DOI: https://doi.org/10.63282/978-93-49929-46-3
Subject/Genre: AI / Engineering & Technology
Pages: 1-73
Chapters: 11
Year of Publication: July 2025
URL: https://sciencetechxplore.org/978-93-49929-46-3.php
Cite As:

Cherekar, R. (2025). AI-Driven Workflow Automation for Large-Scale Data Processing: Challenges and Future Directions. ScienceTech Xplore. ISBN 978-93-49929-46-3.

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