.webp)
New platform offers end-to-end tracking for data transparency, compliance, and AI accountability
Relyance AI, a big-data governance startup, has launched a new platform named Data Journeys that enables organizations to better manage their data. The platform will solve one of the greatest challenges regulated industries experience with the use of artificial intelligence (AI) — tracking where data travels from system, application, or service to system, application, or service.
The Data Journeys platform provides an end-to-end capability by tracing the complete data journey of an organization. It helps organizations understand where data is located, how data moves, and what happens to it across different systems. This is necessary to keep data in a transparent, accountable, and regulatory compliant way, especially in highly regulated industries like healthcare.
Reliance AI's platform indexes code repositories, databases, artificial intelligence models, and applications. It crosses this information against the company policies and regulations in order to maintain that all these adhere to the compliance requirements. In comparison to traditional data lineage tools where data is tracked table-to-table, Data Journeys makes it more thorough by tracking all the way with the data right from its creation and alterations.
The platform accomplishes this by producing a consistent stream of source code analysis, providing more information on how data is being processed. This type of transparency is useful for firms under rising regulatory pressure, especially firms that are operating in regions that must make transparent reports about how they are using data.
The platform is also central to identifying and preventing bias in AI models, enhancing AI decision explainability, and enabling companies to meet legal requirements.
Relyance AI's Data Journeys enables organizations to equip themselves with the tools necessary to effectively govern their AI systems as AI increasingly becomes part of corporate functions, enhancing accountability, fairness, and trust.
.webp)
.webp)
