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Podcast / Machine Learning
Ravelin’s Paul Scott joins us to talk about the integrations process and how to get started.
There is often a lot of confusion around the integration process, and what types of data we require. That's why in today's podcast we're joined by Paul Scott, Ravelin's senior integrations engineer - Paul is part of the core team within integrations and client success, and responsible for getting our clients off the ground and running. He works with our wonderful clients daily, an aspect he says is one of his favourite parts of the job, to ensure everything is running smoothly.
In this podcast, we speak to Paul on the key steps for a successful integration set-up, the most important data the team need for successful results and some integration-esque acronyms favoured by the team. Know what #fraudulation means? Listen and find out - and hope you enjoy!
To learn more about machine learning visit our insights page.
Alara Basul Head Of Content
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Blog / Fraud Analytics
Fraud prevention is a delicate balance between stopping fraud and maintaining good customer experiences. But what is the most effective way to measure this outcome?
Ravelin Technology, Writer
Blog / Machine Learning
Online payment fraud is one of the biggest threats facing grocery merchants. And it’s only gotten worse. How are fraudsters using the cost of living crisis to take advantage of your business?
There’s a new fraud threat on the rise – and it’s your customers. First-party fraud is infamously tricky to catch and a huge revenue risk. How can you detect and deter criminal behavior in your customer base?
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