AI/ML & Data Talks Podcast

Jason Mayes is a Developer Advocate/Web Engineer/Creative Technologist @ Google, aiming to inspire, innovate, and simplify. Jason’s background is based in Computer Science. He discovered that he fits into a rare breed of what he likes to call as “hybrid developers” while others may call this a "design technologist" - in short, Jason equally enjoys being both creative + technical. In a nutshell, Web/mobile technologies allow Jason to combine both sides of his personality.

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Sachin Kumar is the founding member and CTO at TupeloLife which is a  RPM and Virtual Care Management company that has been in the connected health space since 2012. Besides that, Sachin is also a Google Developer Expert (GDE) in Machine Learning, Google for Startups Accelerator Mentor and Head of GDG (Google Developers Group) Doha as well as a YouTuber focusing on tech related contents. In this episode, Sachin shared about his career path and current works related to healthcare.

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Dr. Vinod Ramachandran is Head of Climate Risk Modelling & Credit Risk Innovation at CIMB. He also serves as Principal Data Scientist for the group's risk management function, where he supports the wider Regional Advanced Risk Modelling team. Prior to joining CIMB Vinod was an academic working with local SMEs as a consulting data scientist. In this episode, Vinod shared about his career path and current works related to Climate Risk Modelling and Credit Risk.

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Yudhiesh Ravindranath is currently working as MLOps Engineer at MoneyLion where he focuses on developing and implementing end-to-end machine learning (ML) systems. Besides that he also works closely with data scientists and software engineers to ensure that ML models are integrated into production systems and are performing optimally. In this episode, Yudhiesh shared about his current works, side projects and what it takes to be a MLOps Engineer.

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Hafidz Zulkifli is currently leading the Centre of Data Experience’s (CDX) data team at Bank Islam where he defined the team charter, responsibilities and rituals. In terms of responsibilities, Hafidz leads the team from both managerial (ie. stakeholder, task, resource management) and technical perspective (ie. data modelling, systems architecture, tooling, code etc). Besides Data Science, Hafidz is a blogger where he blogs about his passionate side projects in the areas related to Natural Language Processing (NLP), AI and Data Science.  In this episode, Hafidz shared about his current works, side projects and what it takes to lead a data science team.

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Dickson Neoh is currently working as Developer Advocate at ZenML, a startup that focuses on providing extensible, open-source MLOps framework to create production-ready machine learning pipelines. Prior to joining ZenML, Dickson was working as an academician at UNITEN, a private university in Malaysia. Besides doing research, Dickson is passionate in areas such as Computer Vision, Artificial Intelligence and Machine Learning. In this episode, Dickson shared about his current works in MLOps and how the MLOps framework is being used to alleviate problems related to Machine Learning Model deployment.

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Erhan Azrai is the co-founder and CEO of Kotak Sakti, a data analytics firm based in Kuala Lumpur, Malaysia. Kotak Sakti is a newly established boutique data analytics startup firm that provides analytic solutions to public and public sectors. In this episode, Erhan shared his experience quitting corporate to begin his journey as an entrepreneur in a data analytics firm. Besides that, he also shared lessons learned while navigating rough time for the past 2 years under Covid-19 pandemic.

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Dr. Fairoza Amira Binti Hamzah is currently working as Senior AI Engineer at  Torum Technology Sdn Bhd where she applies AI and ML into building recommendation engines for crypto social media platforms. Being a Ph.D graduate of Nagaoka University of Technology, Dr. Fairoza managed to turn her expertise from image compression to being an applied AI engineer and worked in various companies. Besides her day job, she also contributes her time and effort as Lead Researcher to develop CoronaTracker, a global response for tracking and providing reliable and legitimate COVID-19 information and insights for the public.

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Hafeez Nazri is currently working as Head of Data Services at PwC. Besides his day job, he also contributes his time and effort together with a group of Data Scientists, Data Engineers, Researchers, Full-stack developers, Product Manager, UI/UX engineers from across the globe to develop CoronaTracker, a global respond for tracking and provide reliable and legitimate COVID-19 information and insights for public. With this tracker, it is envisioned to be a global framework, where it will be a hub for any Data Scientists & Data Engineers to build their outbreak model and prediction, apart from disseminate valid information.

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Prof Dr Kamarul Imran Musa (KIM) holds a PhD (Statistics and Epidemiology) from Lancaster University. Kim is currently working as Professor (Statistics and Epidemiology) at Universiti Sains Malaysia (USM) at Kubang Kerian, Kelantan, Malaysia. KIM is a Medical and Statistical Epidemiologist and Data Science Enthusiast. In this episode, we discussed the role of an epidemiologist and the usage of data science in the field of medical and public health.

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Aswadi Abdul Rahman (Aswadi) has over 10 years plus of experience in Advanced Data modelling (machine learning), Deep Packet Inspection (DPI) and big data specialist. He has working experiences related to Financial Institution, Telecommunication and Computer Networking background. Aswadi is currently working as the Head of Data Analytics at Amanah Saham Nasional Berhad. In this episode, we discussed about building Marketing Analytics as well as understanding customer behaviour and persona via data science.

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Dr. Bhawani is the Director, Data & Analytics with Valiantlytix. She is actively involved in R&D the field of Text Mining & Data Analytics. Dr Bhawani has accumulated more than 10 years of experience dealing with acquisition and mining of structured and unstructured data towards solving business problems in fully-funded (government and private sponsors) analytics projects. In this episode, we discussed about the gender disparity in the participation of female in STEM as well as some advices for being a successful female entrepreneur.

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Nurazam Malim is the Founder & CEO of Twistcode. Established in 2006, Twistcode has specialised in supercomputing, using self-assembled GPU-based supercomputers to facilitate its services and solutions. The supercomputer nicknamed A.D.A.M (Accelerated Devices Always Massive), is the fastest supercomputer in Southeast Asia and No 88 in the world, according to the latest High Performance Conjugate Gradients (HPGC) Benchmark, an index that ranks the top 500 computing systems across the globe. In this episode, we discussed about the current usage of supercomputers and the differences between supercomputers and quantum computers.

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Ralph Vincent Regalado is the Founder & CEO of Senti AI. Established in 2015, Senti AI, is the premier enterprise partner for artificial intelligence innovations in the Philippines. Before starting up Senti AI, Ralph was working as an Assistant Professor at De La Salle University. In this episode, we discussed about the transition of being an academician to a founder of an AI company. Besides that, Ralph also shared his experience managing an AI startup company as well as some advices on how to start a company.

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Sam Witteveen is the CEO & Co-Founder of Red Dragon AI and Google Developer Expert (GDE) for Machine Learning. Besides that, Sam is also an active researcher in the areas of Natural Language Processing (NLP) where he has published his research in reputable publications such NeurIPS and EMNLP. In this episode, we discussed about the recent progress of NLP as well as some advices for AI startups.

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Ooi Wen Fong is a Data Scientist in healthcare and cancer genomics specializing in elucidating complex molecular relationships using large-scale genomics data and clinical information. A total of Nine (9) years in architecting big data solutions to identify biomarkers and novel therapeutic options in cancers with statistical learning using R and Python. In this episode, we discussed on topics related to BioInformatics and being a Data Scientist in the healthcare industry.

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Chan Kin Peng is seasoned entrepreneur & keynote speaker on Customer Profiling & Digital Analytics with close to 20 years of industry experience on Digital Marketing & E-Commerce across verticals such as Telecommunications, Retail, Hospitality & Finance. He is currently the Director and co-founder of Kasatria Technologies Sdn Bhd which is a premium partner for Google based in Malaysia & Vietnam. In this episode, we discussed on the usage of AI/ML for Digital Marketing.

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Krit Kamtuo graduated with a Master of Science (M.Sc) in Information Technology and Bachelor of Science in Computer Science from Khon Kaen University, Thailand. Previously, he was working as Machine Learning Engineer, Commercial Software Engineering with Microsoft and Head of Data & AI with Buzzesbees. He is currently working as Manager - Data Engineering Applied Intelligence at Accenture. In this episode, we discussed the differences between DevOps and MLOps. Besides that, Krit shared his experiences working on AI/ML projects.

Dr Yeong Che Fai graduated with a PhD (BioEngineering) from Imperial College London. He was one of the co-founder of DF Automation & Robotics Sdn Bhd, one of the pioneer robotics startup companies in Malaysia. He is currently working as Associate Professor at Universiti Teknologi Malaysia (UTM) as well as the Chairman of DF Automation & Robotics Sdn Bhd. In this episode, we discussed about the applications of AI/ML in the field of Robotics.

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Adrian Spier is Lead Data Scientist with BAT Malaysia. Find out about his interesting shift of career from being a professional footballer to being a data scientist, and leaving his home country, Romania to live and work in an unknown country, Malaysia. We had a fun and interesting conversation about career as data scientist, advices to be a good data scientist and the biggest misconception of being a data scientist.

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