Tuesday, March 18th, 2025
Virtual & In-person Meeting
Social: 5:30 PM
Presentation: 6:00 PM
Abstract:
Autonomous learning, decision-making, and action capabilities of AI agents distinguish them from traditional AI systems. Use of these agents can enhance diagnostic accuracy, optimize manufacturing processes to reduce waste and improve efficiency, predict demand to manage inventory more effectively among other applications. In this session we'll cover the applications and possibilities of Autonomous AI agents in process redesign, decision making and system performance improvements. We further discuss the integration of these agents with technologies such as blockchain, the Internet of Things (IoT),edge computing, and data management to amplify their capabilities. Finally, we identify key areas for further research and investigation to optimize the design and secure application of AI agents across diverse applications.
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Speaker Bio:
Srinivas Chippagiri
Srinivas Chippagiri is a seasoned software engineering professional with over 12 years of experience across telecommunications, healthcare, energy, and CRM software industries. He has held engineering roles at top organizations, including GE Healthcare, SIEMENS, and Salesforce Inc, where he drives the development of core Tableau Cloud Platform features.
He holds an MS in Information Systems from the University of Utah, and a BE in Electronics and Communication from Visvesvaraya Technological University, India. Known for his technical expertise and strategic problem-solving, he has been recognized with multiple awards for his impactful contributions throughout his career.
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