Overview
GenAI, and in particular Large Language Models (LLMs), hold transformative potential to boost productivity and accelerate scientific discovery. However, GenAI is also associated with substantial costs and risks. As energy demands, financial investments, and ethical considerations continue to mount, organizations face critical decisions about AI adoption. We’ll examine practical strategies for maximizing AI’s value while responsibly managing energy consumption, costs, and potential risks—offering a balanced framework for sustainable AI integration that benefits both businesses and society.
Agenda
6pm to 6.30pm - Networking
6.30pm to 7.45pm - Talk by Speakers
7.45pm to 8pm - Questions & Answers
Schedule
Date: 27 Mar 2025, Thursday
Time: 6:00 PM - 8:00 PM (GMT +8:00) Kuala Lumpur, Singapore
Location: 32 Carpenter Street, 059911
Speakers
Speaker's Profile:
Dr. Tamar Eilam, IBM Fellow and Chief Scientist for Sustainable Computing in the IBM T. J. Watson Research Center, New York., IBM
Tamar is leading research aiming at drastically reducing the carbon footprint associated with computing across infrastructure, systems, and software, data and AI. Tamar complete a Ph.D. degree in Computer Science in the Technion, Israel, in 2000. She joined the IBM T.J. Watson Research Center in New York as a Research Staff Member that same year. She was awarded an IBM Fellow in 2014.
Speaker's Profile:
Daniel Klyashtorny, Research Business Development, IBM
Daniel Klyashtorny leads the IBM Research partnerships for AI infrastructure and hybrid cloud platform innovations. In this role, Daniel is responsible for a team of business development executives who work with partners globally on establishing strategic relationships that advance a partner’s AI priorities through business relationships that include cutting-edge AI infrastructure, joint research, and ecosystem development. In so doing, Daniel works closely with a range of partners including startups and ISVs, enterprise clients, universities and government entities to develop strategic relationships that help to advance the partner’s and IBM’s AI priorities. Prior to joining IBM, Daniel held several roles including VP of strategic initiatives for the global markets business of a leading global investment bank, and PwC where he was a management consultant in the banking and capital markets group.
