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Authentication of Cards and eWallets using Location Intelligence

Here’s what we know so far: Location Intelligence helps financial institutions in understanding complex relationships between location and data, to drive better business decisions. Businesses can benefit from meaningful insight by fully utilizing it to make solutions more location relevant and more situation specific. Applications with location intelligence not only provides institutions with the ability […]

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What is Location Intelligence?

Today’s advanced ecosystem of mobile technology of smartphone adoption, mobile banking, and new technologies such as reverse geocoding enables banks to have a real-world, real-time impact on every consumer’s experience. In other words, the world is moving towards a more customer-centric array of technologies, which makes it easier for companies to adopt location intelligence. So, […]

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Four Myths about Machine Learning

We’ve talked about how machine learning is better than statistical models and how DataRobot supports the advanced machine learning techniques used in the insurance industry, today. But since it’s been around for generations, people are often left misconceptions about it.   Let’s clarify four popular myths about machine learning, right now: Myth #1: “Machine learning […]

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The Benefits of Transitioning from Statistical Models to Machine Learning

In case you missed last week’s article, we talked about the many ways machine learning is used in the insurance industry, and how it not only adds value to their work. This week, we shed light on the benefits of transitioning from statistical models to machine learning. In regulated markets, insurers rely heavily on statistical […]

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How Insurers are Using Machine Learning

Last week, we talked about DataRobot automating the machine learning process (from data to deployment), as well as how it is a highly efficient and user-friendly platform that makes curating accurate predictions the most advance it’s ever been. This article serves to provide an insight on how machine learning is currently used in the insurance […]

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Introduction of Automated Machine Learning Platform in the Insurance Industry

Right off the bat, Machine Learning is an application of artificial intelligence (AI) that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed. You often catch it in the news: either being a part of a revolutionary innovation or evidently changing the lives it touches. As an insurer, […]

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Types of Automation Software

Last week, we briefly talked about how companies can benefit from using Robotic Process Automation (RPA) software, in terms of its performance-enhancing features and its substantial role in businesses. In this week’s edition, we will be providing a brief walkthrough of the different categories of automation solutions available in the market, today. There are essentially […]

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The Roles of Robotic Process Automation (RPA)

Over the recent years, automation has become an inevitable part of our lives – whether it’s cars that drive themselves or your favorite vending machines. Most importantly, its availability has enabled individuals to shift their focus from repetitive tasks to things that robots cannot replicate. How can this benefit your company today? Imagine a software […]

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Transform your business with data-driven decisions

The data-driven journey for a bank primarily covers the following three analytics maturity as follows: analysing the past (what has happened?), analysing the present (what is happening?) and analysing the future (what will happen and what is the best thing that could happen?). Today’s customers no longer review their business or operational performance from past […]