MCAI | People

Keynotes Night

May 17, 2024


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Previously dubbed "On AI For Creativity", our sessional AI Keynotes Night hopes to engage the regional community with knowledge, inspiration and connection in AI, while also giving our guest speakers a platform to share their work and ideas in a more intimate setting. It's become MCAI's key gathering event to learn and network. Register now for a spot on May 17, 2024!




🚀 Upcoming


Evaluating Large Language Models in the Context of Artificial General Intelligence

The integration of interactive large language models (LLMs) into various aspects of everyday life has been a significant technological breakthrough, showcasing exceptional functionality and continuous improvement. This presentation will examine the recent advancements and current challenges faced by LLMs, assessing both the opportunities they present and the limitations that persist. Additionally, it will discuss the critical research on AI alignment, emphasizing its importance in the broader context of developing Artificial General Intelligence (AGI).

Blue Ocean Markets for Generative AI Creators

Generative AI is the disruptive technology of this era, unlocking new possibilities, challenging existing workflows, and prompting content creators to take massive action to stay relevant, learning and unlearning at a faster pace. This presentation is a research & practical guide on how to systematically survive and thrive as a Generative AI creator and create your sustainable online brand.



Prev. Guests



Nathan Landman

Founder

Nathan is MIT-trained and had held various quantitative roles at MIT, AI teams and quant funds. He is the co-founder of "Try it On AI", an web app that allows people to create professional headshots with generative tooling.

Nathan Landman


Gautier Marti

Quant

Gautier is a credit and equity Quant at Abu Dahabi Investment Authority (ADIA); he is also the organizer of the thriving Hong Kong and Abu Dhabi Machine Learning Meetups.

Gautier Marti


Kevin Pereira

Consultant

Kevin is a visting lecturer at University of Hong Kong (HKU) and Hong Kong University of Science & Technology (HKUST) where he teches a full-credit MBA course. He recieved his BBA in Economics from Wharton School and MBA from INSEAD.

Kevin Pereira


Ka Hei Chan

Engineer

Ka Hei (Julius) is a sessional entrepreneur, machine learning engineer and consultant for companies looking to adopt Deep Learning. Julius graduated from University of Hong Kong in Mathematics and has since worked at Nvidia, HKSTP, Hospital Authority, and AIA.

Ka Hei Chan


Ellen Lau

Educator

Ellen is a founding Director at Preface, a high-growth EdTech and Lifestyle brand headquartered in Hong Kong. Preface has years of experience in cultivating tech talents and enjoys a rapidly growing market share.

Ellen Lau


Olivier Kuziner

Consultant

Olivier is a Partner and Manager in APAC at Ekimetrics - a leading Data Science Consultancy headquartered in Paris, France. Olivier is an alumni of INSEAD.

Olivier Kuziner