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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.
ICST 2026 | IIT Patna, India | August 01-02, 2026
ADCIS 2026 | Oct 09 - 10, 2026 | MNIT Jaipur India
ICCIS 2026 | Sept 26-27, 2026 | BITS Goa India
CIS 2026 | Sept 05-06, 2026 | NIT Warangal India
AIC 2026 | August 29 - 30, 2026 | IEEE Conference | Jabalpur India
ICIVC 2026 | June 12-13, 2026 | ICFAI University, Dehradun
ICDSA 2026 - VIT Mauritius, Mauritius | July 11-12, 2026
PCCDA 2026 | Sejong University, Seoul, South Korea | June 27-28, 2026
CIMA 2026 | NIT Puducherry, India | May 23-24, 2026