ML is a set of algorithms that can actively recognize patterns from large amounts of data and use these patterns to predict a certain parameter–in this case, whether a given order is fraudulent or not.
In these testing times, we have taken steps and measures to ensure that our products are not disrupted and cour customers are kept up and running.
This is the first part of our journey into data engineering systems at scale, and here, we focus on terms of our scalable real-time data highway.
From acquiring two startups to launching 8 new products, 2019 has been a fabulous year for Razorpay. Here are notable highlights in our year-end review.
Thirdwatch’s AI-driven solution can empower e-commerce businesses to fight fraud at scale and reduce RTO by a significant margin.
Retaining customers is probably more important than acquiring them and one bad experience can lead to a customer going away for their lifetime.
It’s been a year since we launched the Razorpay 2.0 product suite and how it has grown! Here’s an infographic that details how the 2.0 products have fared..
The checkout page is the last stop before a customer makes an online payment. How does good design help users pay faster and more easily? Our take, here…
What is the secret to great workplace culture? The jury is still out, on this one but we, at Razorpay, have an opinion…
Inspiration, motivation, and wisdom – the customers who use our online payments solutions have taught us a lot. We thought we’d share it all with you!