AI/ML & Data Talks
Long conversations with machine learning engineers, data scientists and researchers from Southeast Asia and beyond. 21 episodes on MLOps, healthcare AI, NLP, climate risk, startups and data careers. The show is resting for now; every episode is still online.
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21
NLP Progress, AI Startups, and the Road Ahead
Sam Witteveen · CEO & Co-Founder, Red Dragon AI · GDE in ML
Discussion of recent NLP progress, practical advice for AI startups, and building in the open. Sam is also a YouTuber and researcher with publications in NeurIPS and EMNLP.
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20
Machine Learning for the Web: TensorFlow.js and MediaPipe
Jason Mayes · Developer Advocate / Web Engineer, Google
Web ML technologies, the hybrid developer role, and creative-technical combinations. Covers TensorFlow.js, MediaPipe Studio, and bringing ML directly to the browser.
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19
AI in Healthcare: Remote Patient Monitoring and Virtual Care
Sachin Kumar · CTO, TupeloLife · GDE in ML
Career path discussion and healthcare-focused AI work. Covers remote patient monitoring (RPM), virtual care management, and connected health solutions.
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18
Climate Risk Modelling in Banking
Dr. Vinod Ramachandran · Head of Climate Risk Modelling, CIMB
An inside look at climate risk modelling and credit risk innovation within a major Southeast Asian bank. How data science is being applied to ESG and sustainability challenges.
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17
MLOps in Production: From Notebooks to Deployed Systems
Yudhiesh Ravindranath · MLOps Engineer, MoneyLion
The realities of MLOps engineering, building production ML systems, and operationalising models at scale in a fintech environment.
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16
Leading Data Science Teams and NLP Side Projects
Hafidz Zulkifli · Data Team Lead, Bank Islam
Leadership lessons from managing data science teams in banking, data modelling best practices, NLP side projects, and team culture.
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15
MLOps Frameworks: Building Production-Ready ML Pipelines with ZenML
Dickson Neoh · Developer Advocate, ZenML
Deep dive into the ZenML MLOps framework, production-ready ML pipeline design, and addressing deployment challenges that data scientists face in the real world.
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14
From Corporate to Startup: Building a Data Analytics Company
Erhan Azrai (CEO, Kotak Sakti) & Mohd Ridzwan Nordin
The entrepreneurial journey from corporate data roles to founding a data analytics company, navigating the pandemic, and building a business in Malaysia's tech ecosystem.
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13
AI Engineering: Recommendation Systems and CoronaTracker
Dr. Fairoza Amira Binti Hamzah · Senior AI Engineer, Torum Technology
AI applications in recommendation engines and crypto platforms, and the story behind CoronaTracker, the open-source COVID-19 global tracking project.
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12
Data Services at Scale and the CoronaTracker Story
Hafeez Nazri · Head of Data Services, PwC
Leading data services at a Big Four firm, and the origin story and impact of CoronaTracker, a global COVID-19 information platform built by the Malaysian developer community.
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11
Epidemiology, Public Health, and Medical Data Science
Prof. Dr. Kamarul Imran Musa · Professor of Statistics & Epidemiology, USM
The intersection of epidemiology and data science, medical analytics, public health data challenges, and the use of R in clinical research.
Episodes 1 to 10 are on Spotify, Apple Podcasts, YouTube and aimldatatalks.com.