Tue 06 / 10 / 20
Changes in online shopping behaviour due to COVID-19 and its impact on AI
An interactive webinar on how data-driven consumer recommendations have been impacted by lockdown behaviours – and how this might influence that comes next.
What is the role of data in e-commerce recommendation systems – and how have changes in online shopping behaviour due to COVID-19 had an impact on the AI-based recommender system and business in general.
Imagine the future of personalised online retail – what does that look like, and how does it quickly adapt to global crises and changes in behaviour?
Join this free webinar to learn more about how online shopping behaviour has changed quickly, and what this means for retail businesses.
DR FARHANA LIZA
Dr Farhana Liza, is a Senior Research Officer at the School of Computer Science and Electronic Engineering and the Business and Local Government Data Research Centre at the University of Essex.
Farhana’s research specialisms include artificial intelligence and machine learning and she has worked on many projects which involved large datasets, machine learning methods, predictive modelling and developed novel evaluation techniques.
This free event is for businesses, entrepreneurs and creative enterprises as part of the Wide Angle series of events for www.drivaartsdriva.com.
Join our member community now for exclusive and free access to data innovation resources, opportunities and events including Gatwick Airports live data stream and cash awards
The debate is free, but pre-registration is required via www.drivaartsdriva.com and Zoom.
Funded by University of Brighton, Arts Council England and ESIF
After registering, you will receive a confirmation email containing information about how to join the meeting.
We are fully GDPR compliant. Check your Junk Mail for registration confirmation
Time: 3.30pm - 5.30pm
Date: Tue 06 / 10 / 20
Name: Changes in online shopping behaviour due to COVID-19 and its impact on AI
Venue: Zoom> Book now