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Today’s Opportunities and Challenges of Data Science in Engineering

Today’s Opportunities and Challenges of Data Science in Engineering

 

EDS Online Community Event

Monday 6th December 2021

08:00 PST (Los Angeles), 11:00 EST (New York)
16:00 GMT (London), 17:00 CET (Berlin)

Register for the event here

Agenda

Welcome & Overview

Trudy Hoye, NAFEMS Technical Working Groups Manager

Introduction to the Engineering Data Science Working Group

Vladimir Balabanov, EDSWG Chair

Panel Discussion

'Today's Opportunities and Challenges of Data Science in Engineering'

Panel Moderator: Todd DePauw, Boeing

Question & Answer Session

Attendees

Event Description

This event will be a live panel discussion with members of the Engineering Data Science Working Group and follows on from the recent 'AI (ML) in Engineering Design: Its Status and Readiness for it' panel discussion at the NAFEMS World Congress 2021.

If you are a product design engineer, a CAE analyst, a test engineer tasked with using machine learning and wondering what that means, where you would start from; this panel will help you to navigate through your options. In this panel, industry thought leaders in engineering data science will discuss how machine learning will benefit the engineering design process, how to identify the right projects to apply machine learning, discuss key challenges to overcome. Whether you are a product design engineer, a CAE analyst, a test engineer, or a leader tasked with using machine learning and need to know what that means and how to get started; this panel will help you determine the right path and answer your questions. We invite you to join us for a lively discussion on this exciting topic.


About this event

This event is being hosted by the NAFEMS Engineering Data Science Working Group (EDSWG). The EDSWG has formed an online Community to act as a focal point for all engineers and scientists who want to learn more about data science. No significant knowledge or expertise is required to join the Community, the only requirement is a desire to learn more and a willingness to interact with other engineers and scientists who have an interest in this area. For more information and to get involved go to the Engineering Data Science Community webpage.

You can join the EDS Community using the button below:

Join the EDS Community

 

NAFEMS Community

EDSWG Panel Members

 

Vladimir Balabanov, EDSWG Chair

Vladimir Balabanov, EDSWG Chair

Fatma Kocer, EDSWG Vice Chair

Todd Depauw, Boeing - Panel Moderator

Catherine Amodeo, Ford Motor Company

Pierre Baqué, Neural Concept Ltd

Carsten Buchholz, Rolls-Royce

Olivia Pinon-Fischer, ASDL

Xiao-Peng Gan, GE

Stéphane Grihon, Airbus

Shane Mooney, Kinetic Vision