Part 10/11:
Future Trends in Data Engineering for Fintech Lending
Looking ahead, they identify several evolving trends:
Real-time Processing & AI Integration: Embedding AI and machine learning into data pipelines for instant decisioning.
Data Mesh and Decentralized Data Architectures: Promoting distributed ownership and scaled data management.
Ethical AI & Bias Mitigation: Ensuring fairness in algorithms, especially crucial for underserved segments.
Migration to Cloud-native Platforms: Leveraging cloud infrastructure for scalability, flexibility, and cost efficiency.