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From the Lab to the Real World - Challenges in Getting Algorithms to Achieve Their True Potential

Synopsis 
 

There has been significantly growing interests and investments by businesses to use data and algorithms to capture new markets or to create new opportunities in existing markets. This can range from customer and marketing analytics, personalization of online consumer experiences, predictive maintenance scheduling, financial loan approvals, predictive enforcement, and the list goes on.

 

Yet, many initiatives never make it from the prototypes to the real-world application, and many deployed to the real-world fail to meet the original expectations during the internal presentations and approvals. Even worse, some ill-conceived solutions make the headlines for the wrong reasons after discriminatory decisions were highlighted by the public, or an inadequately robust solution results in some catastrophic incidents after deployment.

 

In this talk, the speaker will discuss the drivers behind the increasing regulatory interests on AI Ethics & Governance, and how a Trustworthy AI framework helps in systematically identifying and addressing the potential areas of concern. We will conclude with a discussion around MLOps which is an area of increasing interests to make sure models are built while considering sustainability in the production environment.

Event Code: 0141
Topic: From the Lab to the Real World - Challenges in Getting Algorithms to Achieve Their True Potential
   
   IIA Singapore
Event Name: From the Lab to the Real World - Challenges in Getting Algorithms to Achieve Their True Potential
   
   IIA Singapore
Presenter(s):

 

Please insert presenters you needed here.

Date: Thursday, 13 October 2022
Time: 12:00pm - 1:00pm (Singapore time)
Venue: Zoom Call
Fees: Non-Members: S$20.00
Members: S$5.00
Requirements:  
Registration
Deadline:
Wednesday, 12 October 2022
Registration:
IIA members can attend at a nominal fee of S$5 using the promo code, OCT22
 

Please click here for the link to the sign up page.