Reconciling Disparate Data Sources with aiMatch and eXpert-in-the-Loop
The goal of applying AI/ML to enterprise data is to extract meaningful patterns and insights, enabling impactful decision making. To achieve this end, it is essential to understand how all of the data fits together, so meaningful relationships can be surfaced. However, enterprise data is often siloed across multiple data sources, primarily due to different aspects of the business being managed within different processes and tools, resulting in many partial sources of truth. In this eBook, we explore how Ikigai utilizes their patented generative AI approach, the Large Graphical Model, to solve the critical business problem of data reconciliation. You'll learn how aiMatch and eXpert-in-the-Loop work by walking through a step-by-step example of Ikigai at work.
