The San Francisco Bay Area chapter of the IEEE Computer Society invites for a free and open Tech Talk (no IEEE membership required):
Speaker: Dr. Kommuri Krishnaveni <LinkedIn>
Title: Extensive AI Infrastructure considerations
Abstract: The increasing use of artificial intelligence (AI), including generative AI (GenAI), has brought attention to the challenges posed by AI workloads on technology infrastructure. These workloads require significant computational resources and also place substantial demands on data, storage, and network infrastructure for tasks such as training AI models, conducting inferencing, and ensuring data security and governance to meet data residency and sovereignty regulations.
Bio: Dr. Krishnaveni Kommuri received the B. Tech. degree from the Jawaharlal Nehru Technological University, Hyderabad, in 2005 and Ph.D. degree from the Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India, in 2022. She is currently working as an Sr. Software Engineer in Wipro as a IoT Edge development expert. She is involved in teaching of machine learning, artificial intelligence, IoT, Embedded systems, Python, C, CPP. She has around eleven years of teaching and research experiences and contributed a number of research articles in several standard journals and conference proceedings of National and International. Her main research interests include artificial intelligence, machine learning, Cloud computing and soft edge computing.
