Infrastructure-Level Intelligence: Embedding AI into Data Movement and Validation Layers

Abstract

Data volumes and complexity push enterprise and governance systems beyond their design assumptions. Rule-based data validation techniques can no longer appropriately model modern data ecosystems. Infrastructure-Level Intelligence (ILI) refers to applying AI to data movement and validation infrastructure, rather than application-level data validation. ILI aims to help quickly spot problems, adjust data validation rules on the fly, fix data movement automatically, improve data quality as needed, and provide other features by processing data close to where The implementations of such compliance-driven use cases have led to huge improvements in these areas with dramatic reductions of data quality issues, faster validation times, more accurate processes, and lower numbers of manual reconciliations. Customary static architectures have failed to accommodate changing data behaviors, regulations, and increasing interdependencies between systems. Adopting real-time intelligent infrastructure allows error detection, dynamic logic, and resilience, which are particularly useful in areas with compliance needs. Infrastructure artificial intelligence will be an essential part of future national regulatory systems, helping to solve problems related to data accuracy and compliance that traditional methods couldn't handle.