As the excitement around the Metaverse continues to grow, we at Fluid AI are excited at how Chatbots are going to be a key part of this bold new Digital Universe. I know it sounds crazy — why would anyone want to interact with Bots in the metaverse? If anything…

It is no secret that as the global banking system sees the volume of digital banking transactions increase, the more cases of fraud we witness (and even experience). Digital fraud attacks increased 109% in the US alone, and globally fraud attempts in banking were up to a whopping 149%. The…

Chatbots are seen on practically every online platform. They’re smart, easy, quick and indeed they deliver value-added services and make websites more accessible. They’re a great way to enhance digital engagement with customers, enable automation and provide more personalized experiences. …

Very often Chatbots are seen as a replacement to a live human agent support team. Chatbots are often positioned as a lower cost cheaper option when compared to human agents. My favorite comparison talks about Chatbots never taking a sick leave and never having a bad day versus humans. However…

Leveraging AI to extend card limits based on data-driven risk analysis — We’re not playing the suspense game today. You must have come across scenarios where credit cards get declined due to exhaustion of the limit, but here is a revelation for you- credit cards can be used beyond a prescribed limit. Due to specific guidelines over the years and rigid systems…

The importance of Data Engineering in a successful AI implementation — If you’re already on-board the AI ship and you don’t want to sink - then make sure you have your “data engineer” lifeguard. The implementation of Artificial Intelligence holds plenty of promises across different global industries. However, without data, there can be no AI. It is the principal factor in…

What is Inference Gap & how to overcome it in Deep Learning Models — By the minute, deep learning models trespass every industry, making neural networks more and more extensive. How do you ensure accuracy in such a situation? That’s easy- just increase the number of training parameters. And then what? As a result, the models tend to become sluggish in their performance due…