PyData Hong Kong In-Person Meetup: "From Chaos to Causality"

In the era of AI, data has become the lifeblood of intelligent systems. However, not all data is created equal when it comes to machine learning and AI development. Join us for an exciting evening of insights and knowledge sharing on "Quality Data and Where to Find Them".

Speaker 1: Ken Ho, Senior Data Scientist, Data Management Lab, Bloomberg
"Optimizing Data Quality at the Source"
Discover how to implement a standardized approach to data quality by isolating key variability factors at the moment of capture. Ken will share his expertise on:

• Technical architecture: high-volume ingestion using PySpark and downstream integration with internal tech stacks
• Causal Inference Framework: modeling downstream effects and quantifying the criticality of error factors

Speaker 2: Kato Yeung, CTO, Crumplete.AI
"Transforming Organizational Intelligence with AI" (this section will be conducted in Cantonese)
Learn how to overcome the challenges of implementing AI in organizations. Kato will discuss:

• The limitations of general-purpose AI and the importance of domain-specific AI
• The Disagreement Strategy: leveraging human expertise to improve AI outcomes
• AI + Human Co-Improvement Cycle: maximizing efficiency and effectiveness

Join us for an engaging evening of learning and networking with like-minded professionals. Don't miss this opportunity to explore the latest trends and best practices in data science and AI!