FinovateSpring 2019 San Francisco

The Finovate Group | KNect365 | Informa — May 8-10, 2019 | Next month, over 1,100 financial and banking executives, technologists, venture capitalists, regulators and fintech solution providers will converge on the City by the Bay. But they’ll be after more than just the amazing seafood and nightlife San Francisco offers its visitors, though. At FinovateSpring, they’ll see and hear about the very latest on topics and technology for the banking, payments and lending industry.

Enova Decisions will be there, presenting the latest in real-time decisioning solutions for fintech. We sat down with Sean Naismith, Head of Analytics Services at Enova Decisions, to get the skinny on what he expects to see, hear, and show at this year’s conference.

“I believe making real-time, complex decision management more agile will be a big topic at this year’s show,” says Naismith. “Business and data science teams at finance and lending companies are increasingly aware that they need to leverage machine learning, rules, and automation to make faster, more actionable decisions based on massive amounts of data. At the same time, their engineering teams need solutions that pull the actual decisioning process out of the standard software development lifecycle, so business can react and adapt quickly to changes in the industry.”

That’s why Sean will be in San Francisco, not to enjoy clam chowder at the wharf, but to demonstrate to Finovate attendees exactly how Enova Decisions puts high quality analytics into practice for its financial customers as quickly as possible, without having to launch lengthy development projects to handle every change.

Join Sean at FinovateSpring from May 8 to May 10 to see the very latest advancements in real-time decision management that only Enova Decisions can provide. We think you’ll be in for a surprise.

Register here and use promo code FKV2353FST for 20% off!

Enova Decisions


Enova Decisions is an analytics and decision management technology company that was formed in 2016 to help organizations make smarter, faster risk decisions about customers and consumers across the risk spectrum through big data, machine learning, and the cloud.