Description

Join us on Tuesday, January 17 @ 10:00 AM – 12:00 PM EST and learn how state-of-the-art deep learning-based forecasting methods can be leveraged within your organization.

This virtual event will feature presentations by Vector sponsors, showcasing proof of concepts participants developed during their participation in the Forecasting 2 Bootcamp in November 2022. Models explored by participants include Prophet, Neural Prophet, N-BEATS, NHiTS, Autoformer, and DeepAR.

10:00 AM

Welcome

10:05 AM

Introduction and Project Recap
Winnie Au, Project Manager, Vector Institute
Matt Choi, Technical Lead & Associate Applied ML Specialist, Vector Institute
John Jewell, Associate Applied ML Specialist, Vector Institute

10:15 AM

Forecasting the Number of Arrival Flights in Main Canadian Airports
Lamine Baghriche, Data Scientist, Air Canada

10:25 AM

Forecasting Electricity Demand with Meter Data
Akeem Afuwape, Data Science Associate, PwC
Elmira Navidbakhsh, Manager - Senior Data Scientist, PwC
Yew Meng Khaw, Senior Data Scientist, PwC

10:35 AM

Producing Forecast Intervals with N-BEATS Efficiently
Philippe Chatigny, Quantitative Developer, Riskfuel

10:45 AM

Wrap-up and Next Steps

Lamine Baghriche
Air Canada
Data Scientist

Akeem Afuwape
PwC
Data Science Associate

Elmira Navidbakhsh
PwC
Manager - Senior Data Scientist

Yew Meng Khaw
PwC
Senior Associate

Philippe Chatigny
Riskfuel
pc@riskfuel.com

This event is open to Vector Sponsors, Vector Researchers, and invited health partners only. Any registration that is found not to be a Vector Sponsor, Vector Researcher or invited health partner will be asked to provide verification and, if unable to do so, will not be able to attend the event. Please contact events@vectorinstitute.ai with any questions.