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Srinivasa Chakravarthy Seethala is a distinguished expert in AI-driven data architecture, with extensive research spanning multiple industries including manufacturing, energy, and technology. As a Lead Developer, he has pioneered innovative approaches to data warehouse modernization, focusing on the transformative potential of artificial intelligence and cloud computing. His scholarly contributions include groundbreaking research on AI applications in cloud data warehouses, exploring advanced topics such as privacy-preserving data publishing, zero-shot learning, and hyperparameter optimization. Seethala has published multiple peer-reviewed articles examining how AI can enhance data management across sectors, with specific focus on supply chain optimization, predictive maintenance, and real-time analytics. His work consistently demonstrates a commitment to leveraging cutting-edge technologies to solve complex data challenges and drive technological innovation in the era of big data and artificial intelligence.
IJCACI 2025 | WUST Virginia US | Aug 23-25, 2025
AITA 2025 | IBS Bangalore | Aug 01-02, 2025
AIC 2025 | IEEE Conference in Delhi-NCR, India | July 26-27, 2025
ICDSA 2025 | MNIT Jaipur | July 11-13, 2025
ICIVC 2025 | ICFAI University, Dehradun | June 13-14, 2025
WCAIAA 2025 | Sardar Patel University, Mandi | May 17-18, 2025
AIR 2025 | Nazarbayev University Kazakhstan | May 09-11, 2025
CVR 2025 | NIT Goa | April 25-26, 2025
BIDA 2025 | RVIM, Bangalore, India | April 12-13, 2025