AI-Driven Dynamic Data Contracts: Enhancing Model Performance and Governance in Cloud Platforms
Year: 2025
Type: article
Abstract: Data-driven decision-making and advanced analytics are transforming how organizations operate, especially with the widespread adoption of cloud computing and artificial intelligence (AI). Yet, static data contracts—defining ingestion rules, schema constraints, and governance policies—cannot keep pace with dynamic data landscapes and evolving regulatory requirements. This paper introduces AI-Driven Dynamic Data Contracts (AIDDC), a holistic approach that uses machine learning (ML) and real-time policy orchestration to continuously interpret governance rules, monitor AI model performance, and adapt data contracts in near real time. By balancing data quality
Author: Shankar Narayanan SGS
Institution: Microsoft (United States)
Language: English
Topic: Data Quality and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4411609360