Taiwan Next & TWDS AI Empowerment Event

TWDS X Taiwan Next - Silicon Valley Event

Agenda:

Host

Jason is a Staff Data Scientist at LinkedIn focusing on Customer Support analytics and AI. Priori to LinkedIn, he worked in a startup for Healthcare analytics. He holds a MA in Statistics from UC Berkeley and B.S. in Statistics from National Chengchi University.

Henry Lin

Data scientist @ Roblox focuses on content strategy and AI analytics. Henry has extensive experience in causal inference and machine learning. He holds an M.S. in Urban Informatics from New York University and both a B.S. and M.S. in Civil Engineering from National Taiwan University

Sharing Summary

Generative AI is not a new system, but it’s a new type of user experience with new challenges.
When it comes to working in GenAI products or projects, the key responsibilities of Data Science are still (a) Data Cleansing, (b) Model Evaluation, and (c) Product Impact Measurement.
The analytics skills of Data Science remain unchanged: (1) Machine Learning (with the addition of LLM & Multimodality) + (2) Experimentation (with the addition of Causal Inference) + (3) Product Sense.
Instead of jumping into the solutions, spend more time identifying the core problem or opportunity. The more unclear the problem may be, the more crucial your role becomes.

Kevin Hsieh

Kevin is the founder of MirWork and a seasoned product leader with over 10 years of experience at Meta Reality Labs, Foxconn, Cognoa, and Candy House. He has successfully led and launched products across consumer IoT, robotics, AI medical diagnostics, and semiconductors. Beyond his work, Kevin is a passionate community builder and mentor, having coached hundreds of aspiring product managers to secure roles at Meta, Google, and other top companies. He is deeply committed to helping others grow, providing guidance to navigate career transitions and break into product management.

Sharing Summary

Businesses lose billions of dollars annually due to inefficiency in hiring processes, employee turnover, and mis-hires.
Recruiters are overwhelmed by the high volume of applicants and spend a disproportionate amount of time on repetitive tasks. In reality, recruiters spend only 5 to 8 seconds reading a resume. Only less than 30% of the candidates get seen by the recruiting team when there are more than 100 applicants. And most decisions are made within the first 5-15 minutes of the interview.
Job seekers can gain a competitive edge through mock interviews, increasing their confidence and reducing anxiety. However, scheduling conflicts, lack of guidance, limited practice scope, and imposter syndrome often deter job seekers from using them effectively.
MirWork offers solutions for both job seekers and enterprises. For job seekers, MirWork provides Quick Mock Interview, which turns any job on LinkedIn into a mock interview instantly. For enterprises, it offers an AI solution to conduct first-round interviews, along with automatic transcripts, summaries, and interview scores.

Taiwan Demo Day