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DBS Bank Reveals Big ‘Data Challenges’ With AI Use

In a bid to adopt Artificial Intelligence (AI) to its operations, DBS Bank had to face several challenges. While doing the same, however, the company realized that doing so goes beyond just figuring out the training models. Data turned out to be one of those challenges, according to DBS’ chief analytics officer Sameer Gupta. 

The Singapore bank started its path to use AI in 2018 by focusing on four main areas: the creation of analytics capabilities, data culture and curriculum, data upskilling, and data enablement.

The company’s goal was to create a data culture that pushed all employees to always consider how data and AI could assist them in their work as well as the relevant use cases and talent, such as machine learning engineers. It entailed offering a training course that instructed personnel on when and how to use data and when not to.

The bank is working on establishing its infrastructure to encompass AI adoption to its data platform, data management structure and data governance. It established a framework that all of its data use cases must be evaluated. PURE is for Purposeful, Unsurprising, Respectful, and Explainable. According to DBS, these four principles are fundamental in directing the bank’s responsible use of data.

With the help of its data platform, ADA, the bank is better able to ensure data governance, quality, discoverability, and security. 

It has been discovered t

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