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Sairohith Thummarakoti is a technology leader, innovator, and author with expertise in Pega, AI, and cloud computing. He has published over 25 research papers, holds multiple AI patents, and is a frequent speaker at global conferences. Sairohith has led large-scale automation and modernization projects across healthcare, insurance, and finance, and serves as the Founding Chair of the IEEE Computer Society - Columbia Section, where he promotes innovation and mentorship in emerging technologies.

Santosh Kumar Vududala is an ETL QA Lead and AI/ML Automation Strategist with over 17 years of experience across finance, insurance, and compliance. He has led large-scale digital transformation initiatives using tools like Automation Anywhere, Blue Prism, and Snowflake. His innovations in intelligent automation and data validation have earned global awards.

Bhanuprakash Madupati is a technology leader, innovator, and author with deep expertise in AI, cybersecurity, and cloud computing. He has published 30+ research papers, holds multiple AI patents, and speaks frequently at global conferences. A Fellow of BCS and Senior Member of IEEE, he is recognized for bridging research and real-world innovation across healthcare, finance, and public sectors.

Dr. Keshav Kaushik is an Associate Professor at Sharda University and a leading expert in cybersecurity and digital forensics. Named among Stanford University's Top 2% Scientists, he has authored 30 books and over 150 research papers. A Certified Ethical Hacker and editorial leader for IEEE and Springer journals, Dr. Kaushik continues to advance AI-driven security research and education worldwide.

Inhalt

About the Authors. Preface. Introduction. CHAPTER 1: FOUNDATIONS OF CLOUD COMPUTING FOR AI. CHAPTER 2: ARCHITECTING CLOUD INFRASTRUCTURE FOR AI MODEL LIFECYCLE. CHAPTER 3: OPTIMIZING PERFORMANCE AND SCALABILITY OF AI IN THE CLOUD. CHAPTER 4: MANAGING COST, SECURITY, AND GOVERNANCE OF AI CLOUD INFRASTRUCTURE. CHAPTER 5: DATA MANAGEMENT AND STORAGE STRATEGIES FOR AI. CHAPTER 6: CLOUD-NATIVE AI SERVICES AND TOOLS. CHAPTER 7: HYBRID AND MULTI-CLOUD STRATEGIES FOR AI. CHAPTER 8: EDGE COMPUTING AND AI DEPLOYMENT BEYOND THE CLOUD. CHAPTER 9: AI ETHICS, BIAS, AND RESPONSIBLE AI IN THE CLOUD. CHAPTER 10: FUTURE TRENDS IN AI CLOUD INFRASTRUCTURE. CHAPTER 11: SCALABLE DATA PROCESSING CONNECTIONS FOR ARTIFICIAL INTELLIGENCE. CHAPTER 12: ADVANCED DEPLOYMENT AND MANAGEMENT STRATEGIES FOR SCALABLE AI. CHAPTER 13: INNOVATIONS IN AI INFRASTRUCTURE - A PATENTED APPROACH.