Pranav Desai Editor

Sairohith Thummarakoti is a distinguished healthcare technology leader, AI strategist, and researcher specializing in the architecture of Artificial Intelligence (AI), CLoud Computing, and high-consequence digital transformations. His work focuses on the pragmatic implementation of emerging technologies to solve complex architectural, organizational, and project-governance challenges. With deep expertise spanning advanced software engineering, analytics-driven decision-making, and intelligent automation, he has consistently led the deployment of enterprise-grade solutions across highly regulated application domains.

His broader research and professional focus center on AI adoption frameworks, predictive analytics, and technology-enabled organizational evolution. By actively engaging with global technology ecosystems, Mr. Thummarakoti brings a vital practitioner’s perspective to the operational realities, risk mitigations, and systemic opportunities of integrating AI into enterprise environments.

Volume Contribution & Editorial Focus

For this volume, Mr. Thummarakoti injects critical expertise in cutting-edge AI technologies, digital innovation, and deployment practices. He ensures that the selected case studies accurately reflect contemporary technological benchmarks and real-world industrial applications. His analysis provides actionable, high-level insights for project managers, technology executives, and practitioners aiming to leverage advanced automation for optimized project and operational outcomes.

Core Areas of Practitioner Orientation:

● Enterprise AI Frameworks: Designing scalable architectures for machine learning and decisioning engines.

● Technology Adoption Models: Accelerating digital transformation while mitigating deployment risks in complex ecosystems.

● Digital Project Governance: Establishing structural guardrails for data integrity, compliance, and systems integration.

● Practical Innovation Case Studies: Translating abstract technical concepts into scalable, real-world business value.

Dr. Pranav Desai is Associate Professor (Research Cadre) at the Parul Institute of Management & Research, Faculty of Management Studies, Parul University, India. He is a Project Management Professional (PMP®) with more than two decades of experience spanning higher education, entrepreneurship development, innovation management, startup incubation, project leadership, and academic research.

His research interests include Project Management, Artificial Intelligence, Entrepreneurship, Digital Transformation, Innovation Management, Sustainability, and Indian Knowledge Systems. Dr. Desai has published extensively in peer-reviewed journals, conference proceedings, books, and book chapters and has actively contributed to multidisciplinary research projects involving technology-enabled organizational transformation.

He has mentored startups, managed innovation ecosystems, led research initiatives, and organized international academic conferences. His academic and professional background enables him to connect project management theory with organizational practice, particularly in emerging areas where AI is transforming project planning, execution, monitoring, and decision-making.

For this volume, Dr. Desai provides overall editorial leadership, academic rigor, and integration of project management frameworks with AI applications. His expertise ensures that the book maintains scholarly quality while remaining relevant to practitioners, researchers, educators, and industry professionals.

Contribution to Practitioner Orientation: Project management frameworks, industry-academia integration, implementation roadmaps, organizational case studies, and PMBOK-aligned AI applications.

Dr. Amit P. Ganatra is Director (Dean) – Research & Development and Dean, Faculty of Engineering and Technology (FET), at The Charutar Vidya Mandal (CVM) University, Vallabh Vidyanagar, Gujarat, India. He is a distinguished academic leader, researcher, and technology strategist with extensive expertise in Artificial Intelligence, Data Science, Machine Learning, Software Engineering, Digital Transformation, and Technology Management.

Over his academic career, Dr. Ganatra has played a pivotal role in strengthening research ecosystems, fostering innovation, and promoting industry-academia collaboration. He has authored numerous research publications, secured patents, supervised doctoral scholars, and led multidisciplinary research initiatives in emerging technology domains. His work focuses on leveraging advanced technologies to address organizational, industrial, and societal challenges through innovation-driven solutions.

His expertise spans AI-enabled decision support systems, intelligent analytics, technology commercialization, innovation management, and the strategic integration of digital technologies into organizational processes. Through leadership roles in higher education and research administration, he has actively facilitated the translation of academic research into practical applications and industry-relevant outcomes.

For this volume, Dr. Ganatra contributes a strong practitioner-oriented perspective by guiding the development of implementation frameworks, decision-support tools, maturity models, and real-world case analyses that enhance the practical applicability of Artificial Intelligence in project management.

Contribution to Practitioner Orientation: Practitioner toolkits, AI adoption maturity models, implementation checklists, executive decision frameworks, industry validation, and real-world AI deployment strategies.

Together, the editors provide a balanced combination of technology expertise, project management scholarship, and practitioner-focused implementation experience, ensuring that the volume serves not only as a scholarly reference but also as a practical guide for project managers, consultants, technology leaders, researchers, and decision-makers seeking to leverage Artificial Intelligence in project environments.