Exploring Data Forecasting, Product Recommendation and NLP Technologies & Applications

Updated: Jan 17

21 Jan 2022 (Fri) | 12:00 - 18:40 | Webinar

 

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 2022 (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

12:25 – 13:45 Workshop Part 1, Q&A and Networking session / Breakout session

13:45 – 13:55 Break

13:55 – 15:15 Workshop Part 2, Q&A and Networking session / Breakout session

15:15 – 15:25 Break

15:25 – 16:45 Workshop Part 3, Q&A and Networking session / Breakout session

16:45 – 16:55 Break

16:55 – 18:20 Workshop Part 4, Q&A and Networking session / Breakout session

18:20 – 18:25 HKEBA Summary - How it may be relevant to attendees

18:25 – 18:40 Closing & Feedback Survey

*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.


Enroll Now

 

 

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.