TECH & AI
Alongside a tech-first approach, companies have to think about people: developers, first.
Tony Phillips asks:“ Then how do we embed a level of security in those guardrails, but also with the notion of flexibility for our developer and engineering community?”
“ That’ s where we’ re at at the moment. So we very much lean on Open Policy Agent, using a template for a lot of what we’ re doing. Data is still the thing that we’ ve yet to get a hold of.”
How is AI used in the software developer lifecycle? Developers have worked to integrate AI into a number of softwares that benefit fintech, including fraud detection.
Tony adds:“ There’ s definitely quite a lot in the bank that we’ re doing from a machine learning point of view, particularly around security, fraud detection, and a lot around those customer applications that have been in place for some time now.”
Machine learning is also employed by developers to reduce time-heavy processes in day-to-day operations.
Aaron Gallimore, Senior Director for Cloud Engineering at GlobalPay, adds:“ Our big focus is making AI scalable and secure and approved so that our developers spend less time moving between the tooling and having to do all of that context switching and heavy lifting, and just let the LLMs do that for them now. It’ s really exciting.”
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