What we’re about
The group is for data science nerds to share and learn the art of data discovery, understanding and storytelling. Please post ALL queries on FB: https://www.facebook.com/groups/dataScience
or on our slack group: https://datasg.slack.com
the messages in meetup are not monitored
... and also check our website @ http://datascience.sg/ for updates and materials
Upcoming events (2)
See all- DBS X DSSG - CodeBuddy & Quantum AIDBS ASIA X, Singapore
Join us for an exciting meetup where DBS will introduce CodeBuddy, an in-house GenAI-powered coding assistant that seamlessly integrates with its data ecosystem. Designed to enhance workflow efficiency, CodeBuddy provides context-aware code suggestions and simplifies data exploration by integrating DBS metadata, eliminating the need for manual copy-pasting. Following that, the emerging field of Quantum AI will be explored, highlighting how quantum computing principles can enhance AI capabilities. The presentation covers foundational quantum computing concepts, key algorithms, and the practical development of quantum AI algorithms alongside the tools and frameworks driving this technological innovation.
Food & refreshments will be catered for the event.
Agenda:
- 630pm - 7pm Network + Refreshments
- 7pm - 7.10pm: Intro to DBS Data Team
- 7.10pm - 7.50pm: Code Buddy
- 7.50pm - 8.30 pm: Quantum AI
Code Buddy:
DBS is committed to unleashing the power of data and empowering our data professionals with cutting-edge tools. Introducing CodeBuddy, our in-house GenAI-powered coding assistant deeply integrated with DBS data ecosystem. CodeBuddy understands your code in context, allowing you to ask questions and get tailored code suggestions without ever leaving your workflow. Explore data with ease using integrated DBS metadata and say goodbye to time-consuming copy-pasting. With CodeBuddy, we're driving efficiency and innovation within DBS.Speaker:
Michael Wei Aun Chia is a data scientist at DBS, working with the Analytics Centre of Excellence. He has been a data scientist at DBS since graduating from Google's Squared Data & Analytics Program in 2017. In the past couple of years, Michael has primarily been working on generative AI use cases. In addition to developing CodeBuddy, he has built and maintains the Python SDK for using large language models (LLMs) within the bank, and he also conducts research and experimentation work regarding agentic patterns. Michael has an interest in open source and has contributed to projects such as 'jupyter-ai', 's3fs', and 'langchain-google'. He holds a Bachelor's degree in Actuarial Science from the Australian National University and a Master of Computing from the National University of Singapore (NUS).Quantum AI:
This presentation covers the emerging field of Quantum AI, which involves incorporating quantum computing principles to enhance AI capabilities. We will begin by reviewing foundational concepts of quantum computing, and then dive into key quantum algorithms, with pedagogical illustration for their advantage over classical approaches. Additionally, we will discuss a practical approach for the development of quantum AI algorithms, along with an overview of the frameworks and tools that are shaping the future of this innovative technology.Speakers:
Richard Oentaryo, Ph.D., is a Strategic Data Science Lead at DBS Bank. He has over 15 years of experience in data science, machine learning and optimisation. He holds a Ph.D. and B.Eng. in Computer Engineering. Prior to DBS, Richard held positions at McKinsey & Company and McLaren Applied. He is a prolific researcher with over 40 publications in international journal and conference venues.
Sanjay Sekaran, Ph.D., is a Data Scientist at DBS Bank, with over 3 years of experience in a commercial data science role. He holds a Ph.D. in Astronomy & Astrophysics, an M.Sc. in Astronomy and a B. Sc. In Physics. He has significant experience in time-series analysis, statistical modelling and machine learning.
Jonathan Clarke, Ph.D., is a Data Scientist with more than 2 years of experience working on a large-scale hyper-personalised recommendation engine. With a Ph.D. in Astrophysics and an M.Sci. in Physics with Astrophysics, he has extensive experience in optimisation problems and machine learning.
Vadym Kulish, Ph.D. is a Senior Data Scientist at DBS Bank. He holds a Ph.D. in Physics from Nanyang Technological University, and an M.Tech. in Business Analytics from National University of Singapore. He has an industrial experience in recommender systems and predictive analytics, as well as research background in electronic structure modelling and density functional theory.
