Modern CTO Why Data Quality is Crucial in the Age of AI with Adam Dille and Zeba Hasan
Feb 3, 2025
Join Adam Dille from Quantum Metric, an expert in data optimization and AI, and Zeba Hasan from Google, a whiz in BigQuery and cloud data solutions. They dive into why data quality is essential for successful AI integration, warning against common pitfalls like misleading outputs. The duo discusses enhancing customer support through data context and the vital role of human collaboration in AI initiatives. They also touch on the necessity of understanding data maturity to maximize AI capabilities while keeping traditional coding principles in mind.
AI Snips
Chapters
Transcript
Episode notes
Quantum Metric and Google Partnership
- Quantum Metric and Google partnered after Quantum Metric used BigQuery in a unique way.
- Google was intrigued by Quantum Metric's approach to using BigQuery like a relational database.
Define Problems Clearly
- Clearly define problems before starting AI projects to guide technology/resource allocation and ensure project success.
- Understanding the core issue will determine what and who you need to address it.
Data Quality Evolution
- Data quality has evolved from ensuring clean data to identifying valuable data points in large datasets.
- It's about finding key indicators within terabytes of daily data.