This will help drive acceptance of these cutting-edge technology solutions. Like our Face Match and Liveness solutions, and our ID validation and authentication APIs that drive real-time authentication.
A key benefit of the Regulatory Sandbox is the use of AI and ML in decision-making in key processes such as KYC. Large amounts of data are a prerequisite for any AI and ML-based solution. Data can, of course, be procured from publicly available sources. But these are limited and there is little clarity on how to open this up in a structured way. Data can also be collected privately but large amounts of data are available only to large companies. However, the Regulatory Sandbox is open only to start-ups at the moment who usually do not have the volume of data an AI/ML solution needs to be built upon.
Speaking to the Economic Times, Wriju said that the one crucial piece that was missed out in the draft guidelines is ‘access to data’.“Data either comes from larger clients who have a lot of customers or from public data sources, and public data is not within its purview,” he added.
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