Shifting Left in Banking: Enhancing Machine Learning Models through Proactive Data Quality | Abhi Ghosh | Shift Left Data Conference 2025

Good Data and not Big Data is becoming more important in today's ecosystem. Machine Learning models rely on good quality data to make their model training more efficient and effective. We have traditionally applied Data Quality checks and balances in manual, centralized way, putting a lot of onus on our customers. Shifting Left Data Quality will bring the data quality checks closer to where data is being created, while preventing bad data from flowing downstream. Also auto-detecting, recommending and auto-enforcing data quality rules will make our customers job easier, while creating a more mature and robust data ecosystem.