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[Panel Discussion] Preparing an AI-driven Workforce

by Sarah Ruslan on 2023-12-29T12:51:00+08:00 in News | 0 Comments

Date: 10 January 2024 (Wednesday)
Event Time: 4pm-6pm (Registration begins at 3pm)
Venue: SIT@Dover, LT1A, Academic Plaza, 20 Dover Drive, Singapore 138682
Target Audience: Students, Alumni, Staff

 

Join our panel of AI experts as they share how artificial intelligence is reshaping our work landscape, from its technological applications to its governance.

Light refreshment will be provided. Please note that limited cutlery will be available and we encourage you to bring your own to minimise waste and contribute to our sustainability efforts during the event.

 

Register here

 

Ms Vanessa Wilfred 
Assistant Director, AI Governance, Infocomm Media Development Authority (IMDA)

 

Vanessa leads the development of AI governance policies to build a trusted ecosystem for AI innovation in Singapore, including generative AI. She is responsible for international engagements on AI collaboration, including with bilateral counterparts like the US and EU, as well as at multilateral platforms like OECD and Standards Development Organisations.

 
Mr Pek Zhi Xuan 
Senior Cloud Solution Architect, APAC AI Lead, Microsoft

 

Zhi Xuan is the AI Pillar Lead at Microsoft APAC. In his work, he engages with customers around the region for all things AI and Machine Learning, enabling them to be successful with the Azure platform. He is constantly experimenting with AI and ML, whether it’s to boost his work efficiency (like using a chatbot to write this bio) or to automate boring tasks at home.

 
Mr Lee Gang 
CEO, Founder, ELGO Technologies

 

Lee Gang is the founder and CEO of ELGO Technologies, an AI startup that aims to democratize AI and develops custom AI solutions for companies. Lee Gang has also held pivotal roles in various organizations, including as the Head of Data Science at X0PA AI and a Senior Data Science Specialist at the Ministry of Health (MOH) during the COVID-19 pandemic. He has over a decade of experience as a data science professional in enterprise-level end-to-end AI project implementations, with a specialisation in Natural Language Processing (NLP), ensemble modeling, and user-centric AI design.

 

 


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