Women's Forum Singapore 2024

ST

Sharon Toh

Dassault Systèmes Singapore

Vice President

Description

Sharon has a passion to drive growth by building a people orientated organisation that creates value for stakeholders. Sharon is generous with her time to develop people and has coached many people in her current and previous teams. She is a highly sought-after trusted advisor to our business partners across Asia as she has personal experience in running her own company. She is a strategic thinker who can support corporate initiatives and is also detail-orientated to see through program implementation and executions. She is not afraid to challenge the status quo and is a good listener to people providing her with good insights on their motivations which makes her an excellent team player. She has a deep understanding of channel transformation and management and when given a mission, she is self-driven to achieve the objectives. She is good at navigating the organization and approaching the right people in the ecosystem to secure the right help & support. Her style is very collaborative which makes her pleasant to work with. She received the 1st Global Award for Mentors in the company in 2023. She champions #workhappiness and wants to help others explore and discover how to enjoy what they are doing in their roles. Sharon was promoted to Vice President of Dassault Systemes in 2024.

Session featuring this Speaker

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Plenary
Jun 20, 2024
6:05 PM6:45 PM
Online

Understanding and overcoming bias in AI

Sam LiewNCS Pte LtdChief Executive, Gov+Kisson Linmindverse.aiCo-Founder & COOJacqui MirandaMicrosoft AsiaHead of Asia Corporate Segment at MicrosoftKevin ShepherdsonStraits InteractiveCEOSharon TohDassault Systèmes SingaporeVice President
Description
Bias in artificial intelligence systems poses a significant challenge as it can perpetuate and even exacerbate existing social inequalities. In this session, we will explore the complex nature of bias in AI, its underlying causes, and strategies for identifying and mitigating bias to build more equitable and inclusive AI technologies.
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