Financial institutions are looking to AI to enhance developer productivity and get products to market quickly. 

“Developer productivity is a huge use case [for AI] that is amazing,” Prag Sharma, global head of AI at Citi, said Thursday during the webinar “Global ideas for better banking AI,” presented by Bank Automation News.  

Throughout the $2.4 trillion bank’s business units, AI can be leveraged to help “developers code faster, potentially code better,” Sharma noted. 

However, within a financial institution, a development framework must be established, EJ Achter, global head of AI for commercial banking at $3 billion HSBC, said, listing the process: “You have innovation, your proof of concepts and, ultimately, production.”

Sharma added that AI can assist as a starting point to assess risk and control processes for proof-of-concept innovations and in production.  

Jennifer Warren, head of markets digital strategy at $1.9 billion Barclays, agreed, saying that auto machine learning and tools can “speed up the effectiveness and efficiency of our data science teams.” 

In fact, those tools can help the bank “rapidly develop and deliver to market new products,” she said.