The right technology choices can accelerate success for a cloud born business. This is true for the fintech start-up clearTREND Research. Their solution architecture team knew one of the most important decisions would be the database decision between SQL or NoSQL.
Although it’s not a typical use case for Azure Functions, a single Azure function is all it took to fully implement an end-to-end, real-time, mission-critical data pipeline for a fraud detection scenario. And it was done with a serverless architecture.
We recently published a blog on a fraud detection solution delivered to a banking customer. The solution required complete processing of a streaming pipeline for telemetry data in real-time using a serverless architecture.
A single Azure function is all it took to fully implement an end-to-end, real-time, mission critical data pipeline. And it was done with a serverless architecture. Serverless architectures simplify the building, deployment, and management of cloud scale applications.
Artificial Intelligence (AI) and machine learning (ML) technologies extend the capabilities of software applications that are now found throughout our daily life: digital assistants, facial recognition, photo captioning, banking services, and product recommendations.
The future of mobile banking is clear. People love their mobile devices and banks are making big investments to enhance their apps with digital features and capabilities.
When you buy an item on a favored website, does the site show you pictures of what others have bought? That’s the result of a recommendation system. Retailers have been building such systems for years, many built using the programming language R.
