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Introduction This blog post will take us through how a business which need to ensure customer due diligence (CDD) can automate the KYC (Know Your Customer) processes using deep learning and computer vision based solutions. But before we get started, let’s familiarise ourselves with some basic terminology. Customer Due Diligence – CDD involves verifying that […]Read More
Introduction In this article, we will discuss how any organisation can use deep learning to automate ID card information extraction, data entry and reviewing procedures to achieve greater efficiency and cut costs. We will review different deep learning approaches that have been used in the past for this problem, compare the results and look into […]Read More
Introduction Insurance is one of the essential contracts made by individuals, corporations, and industries for financial protection or reimbursement against losses. It’s one of the most cautious, heavily regulated industries in the world. With the increase in the latest technologies, insurance activities are becoming more automatable and the need to attract and retain employees with […]Read More
This article is a comprehensive review of Data Augmentation techniques for Deep Learning, specific to images. This is Part 2 of How to use Deep Learning when you have Limited Data. Checkout Part 1 here. We have all been there. You have a stellar concept that can be implemented using a machine learning model. Feeling […]Read More
I think AI is akin to building a rocket ship. You need a huge engine and a lot of fuel. If you have a large engine and a tiny amount of fuel, you won’t make it to orbit. If you have a tiny engine and a ton of fuel, you can’t even lift off. To […]Read More
In this article we will give you a brief overview of Named Entity Recognition (NER), its importance in information extraction, its brief history, latest approaches used to perform NER and at the end will also show you how to quickly use a latest NER model, on your dataset. What is NER? As per Wikipedia, a […]Read More
