You take communication seriously. So why should your customer conversations be anything but exceptional?
Your customers can now contact Kylie.ai for all their questions regarding their wireless connection, their subscription, their account, technical troubleshooting, etc.
Kylie.ai can take over all customer care conversations related to your streaming offerings. Automate service questions, account information, network coverage, issues, plan details.
Let Kylie.ai take the load off of your billing and collections department. Automate more conversations, with the same amount of agents, to bring in more revenue. Kylie.ai can also manage credit risk and detect fraud.
“I watched [Kylie] automate our most complex chats in 1.5 minutes. These are very complex chats that require human decision making.”
— Director of Credit Risk, 3rd Largest US Telecom Company
This blog post was originally posted on MIT Technology Review by Will Knight From Alexa and Siri to countless chatbots and automated customer support lines, computers are gradually learning to talk. The only trouble is they are still very easily confused. A research team at Salesforce has come up with a clever way to improve the performance of many modern language programs—teaching an algorithm to speak another language before training it to do other tasks.
Posted by Shayaan Abdullah on 10/4/17
Evaluating artificial intelligence in the enterprise can seem like a daunting task. The Kylie.ai team has worked with several leading organizations and has learned key insights in how to approach evaluating A.I. The following points can provide guidance and best practices in how to formulate an A.I. strategy.
Posted by email@example.com (Josh Adragna) on 10/2/17
Topics: Artificial Intelligence
This blog post was originally posted on MonkeyLearn by Rodrigo Stecanella Since the beginning of the brief history of Natural Language Processing (NLP), there has been the need to transform text into something a machine can understand. That is, transforming text into a meaningful vector (or array) of numbers. The de-facto standard way of doing this in the pre-deep learning era was to use a bag of words approach.
Posted by Divya Susarla on 9/27/17