We have shown in previous posts why Synthetic Training Data is the best way to boost the accuracy of any chatbot, and the solution to the most important problems of chatbots nowadays: data scarcity, namely, the lack of accurate and useful training data for the problems chatbots want to address.

Do you know Amazon Connect? It’s a new platform created by Amazon —and built on AWS— that allows you to have your own Contact Center in the cloud, without having to get all the infrastructure that usual contact centers need. The philosophy is “Contact Center as a Service”, and Amazon is not the only one to implement it, but it’s actually one of the most interesting ones.

A few days ago we talked about how chatbots didn’t prove to be the revolution many of us expected. As we saw, one of the problems was related to expectations: chatbots were expected to be a magic wand that would solve everything. Yet, this doesn’t mean chatbots are not extremely useful when applied in the right environments and with the right goals in mind. We’ll present some cases of useful chatbots in the next weeks.

All companies that have a large number of clients want to be “customer-centric”, always placing the customer as the center of their strategies. This translates into taking good care of them, promptly and 24/7, without increasing costs, if possible.

Data scarcity is one of the major bottlenecks that AI practitioners have to deal with when training production-level models. Obtaining additional data typically involves costly manual annotation processes which, as we described in a previous post are fraught with problems.

Live Chats are one of the most useful features an online store can offer to its customers. The idea is simple: the store’s website shows a small window in which the user can interact (chat) directly with a representative of the company. Fast, transparent and easy for the customer. 29% of today’s contact centers offer Live Chat technology to the customers they serve, and it’s expected to grow to 64% in a couple of years.