DSSG x Google

Discover how you can create agents faster with the Agent Development Kit (ADK), and learn from real-world experience transitioning from traditional machine learning to enterprise-level GenAI solutions.

Agenda

• 6:30 PM – 7:00 PM Registration & Networking
• 7:00 PM – 7:30 PM Agent Development with ADK & Agent Engine
• 7:30 PM – 8:00 PM How did I transfer from Training Xgboost Models to Building Production-Ready and Enterprise-Level GenAI Solutions
• 8:00 PM – 8:30 PM Q&A and Closing

Synopsis

• Agent Development with ADK and Agent Engine – by Wei Yih
  In this session, you will learn about how Agent Development Kit (ADK) and Agent Engine features can streamline agent development, empowering you to build agents faster than ever.
• How did I transfer from Training Xgboost Models to Building Production-Ready and Enterprise-Level GenAI Solutions - by Guan Wang
  Building GenAI solutions brings challenges to data scientists who are more used to building traditional ML models. In this talk we will discuss about the shift of experience for a data scientist working on GenAI, and what a full-stack developer is like - from gathering user stories, iterating with UI/UX, to chasing business to label data for proper accuracy evaluation of GenAI solutions, in addition to his/her influence on traditional IT tasks like infrastructure setting and architecture design, performance testing, logging/monitoring and more

Speaker Bios

• Wei Yih is a Generative AI Field Solutions Architect at Google, with 10 years of experience as an AI/ML practitioner. He has worked with customers across various industries on a wide variety of use cases, such as energy optimization, travel route risk assessment model, and fine-tuning of Large Language Models. Prior to joining Google, Wei was a Senior Applied Scientist in the Professional Services and Prototyping Team at Amazon Web Services.
• Guan Wang works as a Principal Data Scientist for Manulife. He has been working on research and development of machine learning, computer vision and natural language processing in academic institutions and industrial research labs, and has published several technical books, academic papers and industry patents. He is also an active tech blogger and community contributor, receiving 10k+ stars for his open source projects on Github. Guan has more than 13 years of experience in data science and 8 years of experience in applying AI to the insurance industry. He holds a Bachelor degree in Physics and Computer Science from Peking University, and a MPhil degree in Physics from the Hong Kong University of Science and Technology.

Note:
You’ll find a small event registration desk by the entrance gates. Registration starts from 6:30 PM, and you will be escorted upstairs after checking in.