Chad Sanderson, the CEO and Founder of Gable.ai believes that if companies want to leverage AI, a sound data strategy will be crucial. He recently spoke about the importance of data quality and data contracts in maintaining an application’s integrity. Sanderson’s company offers a unique implementation mechanism to facilitate federated data governance and federated data management.
In the past, data architects would build an entire data ecosystem in a company, with a centralized team providing all data to scientists, akin to how a librarian operates a library. However, with the rapid movement to the digital space and the integration of AI, the data these applications generate are no longer subject to the well-planned structure by data architects. Consequently, all this information lands in one place- the data lake, and it can get tremendously messy.
Sanderson emphasizes the concept of a data contract, where data engineering teams that use the data in a specific way set clear expectations on it. The responsibility of the data then lies with the engineers who create the data, similar to how a data architect would have taken ownership of the entire system. This new model allows governance and quality to scale.
At Gable.ai, Sanderson and his team focus on data quality where clear expectations and service level agreements (SLAs) are in place and all the data used for AI is clearly owned. Identifying the importance of context, they are looking into using smaller, context-driven models over large ones. The data will become the competitive moat for most businesses, meaning they need to collect as much high-quality data as possible to feed into these models.
However, Sanderson points out that policies like GDPR and CCPA present challenges with the regulation of these generative models. In the future, effective governance and vendors providing data as a service could become more important to deal with data changes and ensure high data quality. In his view, data curation, quality management, and control will become more crucial as companies build products that depend on consistently good data. His firm, Gable.ai, helps businesses achieve their data strategy through their software engineering tool that can interpret code. They provide code interpretation services ensuring the code changes in structure do not disrupt data integrity downstream.
Chad Sanderson promotes the use of AI but insists on a more strategic, context-based use of data to prevent chaotic data situations.
