Personetics brought together various teams from across the organization for an AI hackathon focused on helping banks implement new technology. Here’s what they found.
Eighteen teams. Six hours. One challenge: find faster ways to help banks implement new technology.
When we launched our recent hackathon at Personetics, we brought together teams from across our organization – primarily professional services with additional expertise from R&D and support. After all, who better understands what banks need than the specialists who help them build better digital services?
As a company whose AI-powered insights already help one million customers save over $200 million monthly through assistive technologies that summarize content and reduce manual labour, we’re always looking for ways AI can make banking work better. This hackathon let us put that idea to the test.
The response surpassed our expectations. Eighteen teams formed, ranging from two to seven people, bringing together professionals from across our organization – primarily professional services with additional expertise from R&D and support. Each team brought fresh ideas about making technology implementation simpler and faster, using their first-hand experience with banks’ implementation challenges.
Key Takeaways for Improving Tech Implementation
One of our winning teams showed the incredible power of AI in banking technology: they developed an AI-powered approach to SDK integration that finished a project in 10 minutes which usually takes three days or more. The current SDK integration process typically involves extensive documentation review and multiple consultation sessions with our team – a complex process that can sometimes”stretch beyond a week. When banks add new features to their mobile or web applications, they often get stuck on technical details that slow everything down. This dramatic improvement in speed shows how AI can help banks bring new services to their customers sooner.
Another innovative team tackled a different challenge: creating synthetic data that mimics customer information for testing purposes. This addresses a significant pain point for banks, as generating realistic test data has traditionally been a time-consuming process that can delay implementation.
The hackathon taught us three important lessons about implementing banking technology:
First, AI is particularly good at handling complex technical tasks automatically. This frees up banks’ technical teams and Personetics’ Professional Services teams to focus on what makes their services unique instead of getting bogged down in basic setup work. The automation of these processes not only increases efficiency but also improves quality across the board.
Source: THE FINANCIAL BRAND
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