Description:

In artificial intelligence, natural language processing (NLP) is one of the hottest topics allowing computers to understand human languages. It has been demonstrated that NLP techniques are continuously evolving and that applications are increasingly being implemented by organizations to solve a wide range of problems. Especially its application and cross utilize with product recommendation and data forecasting.

In this webinar, we aim to equip ICT professionals with the knowledge on understanding the technologies, use cases, trends and applications of NLP technologies, data forecasting & product recommendation.

Purpose:

To equip Hong Kong ICT professionals with knowledge on the latest digital transformation trends and implementation strategies.

Event Details:

Date January 21 2021 (Friday)

Time 12:00 - 18:40

Location Webinar

Language English

Admission Fee Free

Target participants:

For ICT professionals only

Rundown:

12:00 – 12:10 Registration

12:10 – 12:25 HKEBA Opening - Introduction to PASS, project details & HKEBA (15 min)

12:25 – 13:45 Workshop Part 1, Q&A and Networking session / Breakout session (1hr 20min)

13:45 – 13:55 Break

13:55 – 15:15 Workshop Part 2, Q&A and Networking session / Breakout session (1hr 20min)

15:15 – 15:25 Break

15:25 – 16:45 Workshop Part 3, Q&A and Networking session / Breakout session (1hr 20min)

16:45 – 16:55 Break

16:55 – 18:20 Workshop Part 4, Q&A and Networking session / Breakout session (1hr 25min)

18:20 – 18:25 HKEBA Summary - How it may be relevant to attendees (5 min)

18:25 – 18:40 Closing & Feedback Survey (15 min)

*Please note that questions will only be taken during the Q&A session. And hands raised during webinar will only be attended for technical difficulties.

Speakers:

Ming Cheung - Research Scientist, The Lane Crawford Joyce Group

Sunny Wong - Director of Product Development, Chatbot.com.hk / Set Sail Software

Wai Hei Chow - Solutions Architect, Amazon AWS

Terence Pong - Vice President, Product Marketing, Fano Labs

The above speakers have: 1. At least 3 years of the topics experience, or 2. Currently work for/worked with or working closely with the topics.

Workshop Content

Introduction to topics / technologies

Application of Machine Learning: Data Forecasting, Product Recommendation & NLP

Retail Case Sharing in Machine application

Process of running Machine Learning Problem

Framing problem - How to Define the Machine Learning problem and propose a solution

Data Collection, Construction and Cleaning - Transform all data for the purpose of Machine Learning Model

Train and select the Machine Learning Model

Machine Learning feedback loop for improving the accuracy of data forecasting

Real Demo - Example of how Product Recommendation is used in eCommerce and Retails

Ethical issue behind the Machines Learning

Note: The seminar videos and materials will be uploaded onto HKEBA’s website for wider dissemination.

Acknowledgment of Support and Disclaimer

This material/event is funded by the Professional Services Advancement Support Scheme of the Government of the Hong Kong Special Administrative Region.

Any opinions, findings, conclusions or recommendations expressed in this material/any event organised under this project do not reflect the views of the Government of the Hong Kong Special Administrative Region or the Vetting Committee of the Professional Services Advancement Support Scheme.