Hacking With Generative AI to Discover Its Potential for Our Clients
Endava and Microsoft held a 2-day Hackathon event in Charlotte, North Carolina designed to act as a crash course in Generative AI solution development. Though the focus was for on the healthcare industry, what we learned from a skills perspective can yield business value in any vertical. Below, Joe Dunleavy and Vince Francis highlight what we learned, where we focused our time, what we built—and most exciting—how we want to apply these findings into our future client work.???
For 48 hours, 25 Endavans gathered at our North American headquarters in Charlotte, North Carolina for a hackathon. The goal? To familiarise themselves with the AI software-building tools that can transform the level of expertise we bring to our clients.?
During those 2 days, we were joined by strategic partner and event co-host, Microsoft. The ? hands-on learning sessions were led by five US Azure black belts—Kevin Sauer (North America Global Black Belt team leader), David Barkol, Megan Meyer, Lynn Orrell and Joey Schluchter—who aimed to show our Endava SMEs how to leverage the latest line of Microsoft Azure Generative AI offerings to build two separate solutions for our healthcare initiatives, one centred around patient care, and the other on the pharmaceutical R&D space. ? ?
The outcomes we sought were twofold. First, to build successful proofs-of-concept for each theme to showcase to clients. And, finally, to get better acquainted with the Semantic Kernel software development kit and other Azure tools to broaden the scope of our expertise and services we can provide our clients.??
Highlights of the gathering included:??
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What the hackathon illustrated to us is that Generative AI brings with it a world of potential that can transform how many industries operate at every level. We, alongside our Microsoft partners, are excited about developing solutions using these innovative resources and we look forward to helping you and clients worldwide explore their own potential with generative AI.