[online x In Person] Hong Kong Machine Learning Meetup Season 4 Episode 3

This meetup will be hosted in person in Sheung Wan, Hong Kong Island, and online via Zoom. Feel free to join either way!

If you'd like to join us in person please sign up here - https://forms.gle/8PbsJ51pa9RG9KQg7

• Please note there is a limited amount of seating available

The meetup is sponsored by Darwinex https://hubs.li/H0WbChT0
and DataRobot. Thanks to them for helping with the organization cost (pro-zoom, recording material, food & drinks, venue)!

There will be 3 talks, stay tuned!

The event program is not yet set in stone and will evolve over the coming month.

Talk 1: Application of Natural Language Processing to unstructured financial text to create alternative data for Finance

Abstract:
Brain is a research-oriented company that has developed an integrated Natural Language Processing platform that enables the analysis of unstructured financial text to create alternative datasets for Finance. Some examples are:

• Brain Sentiment Indicator that analyzes financial news with the objective of quantifying sentiment and buzz on more than 10000 global stocks
• Brain Language Metrics on Company Filings with the objective of monitoring several language metrics on 10-Ks and 10-Qs company reports such as sentiment, percentage of various types of financial language used, and similarity
• Brain Language Metrics on Earnings Calls Transcripts with the objective of quantifying language metrics in Earnings Calls Transcripts, for example, the sentiment of management presentation or analysts questions
  The goal is to create robust models, also easily explainable, to build alternative datasets that can be used by institutional investors to build new investment strategies or complement existing ones.

Speaker: Francesco Cricchio, Brain Chief Executive Officer
Brief CV:
Francesco Cricchio is the co-founder and CEO of Brain, a company focused on the development of algorithms for trading strategies and investment decisions. He obtained his Ph.D. in Computational Methods applied to Solid State Physics from Uppsala University in 2010. He focused his career on solving complex computational problems in different sectors using a wide range of techniques, from statistical methods in solid-state Physics to the application of machine learning in different industrial sectors with a focus on Finance.

Talk 2: AI Automation and how it's a game-changer on the way we apply AI to Business.

Vítor Centoducatte, Data Scientist at DataRobot
www.linkedin.com/in/vitor-centoducatte

With experience in Software Engineering, Data Science and
Engineering, Vítor has developed an expertise in delivering end-to-end, high-impact projects leveraging Artificial Intelligence by building and scaling machine learning systems.

Abstract:
Automation is transforming how we apply AI to Business. In this talk, we will show how an AI system for Demand Sensing (forecasting product sales) is usually built and how our AI automation platform, DataRobot, can be leveraged to move faster and with more confidence.

Talk 3: TBD