Bitext


Recent Posts

Bitext/Amazon Connect: how to connect with our services

[fa icon="calendar'] Jan 23, 2020 4:36:53 PM / by Bitext posted in Machine Learning, NLP, Big Data, Bitext, Natural Language, Text Analytics, Artificial Intelligence, Deep Learning, Chatbots, NLG, NLU, AI, Multilanguage, NLP for Chatbots, Finance, Banking, "Multilingual synthetic data", aws

[fa icon="comment"] 0 Comments

These days we are talking about our partnership with Amazon Connect. But how can you benefit of it? We want to explain it now. Using our new AWS services for Amazon Connect is very simple.

Read More [fa icon="long-arrow-right"]

Bitext/ Amazon Connect: a full listing

[fa icon="calendar'] Jan 21, 2020 4:40:26 PM / by Bitext posted in Machine Learning, NLP, Big Data, Bitext, Natural Language, Text Analytics, Artificial Intelligence, Deep Learning, Chatbots, NLG, NLU, AI, Multilanguage, NLP for Chatbots, Finance, Banking, "Multilingual synthetic data", aws

[fa icon="comment"] 0 Comments

A few days ago we announced our partnership with Amazon Connect. Today we'd to give you more details about it. As a result of this partnership, Bitext is now offering the following three services: Instant Lexbot, Lexbot Booster and Custom Lexbot. Let’s find out more details about them.

Read More [fa icon="long-arrow-right"]

Bitext partners with Amazon Connect (for English for now)

[fa icon="calendar'] Jan 9, 2020 6:23:35 PM / by Bitext posted in Machine Learning, NLP, Big Data, Bitext, Natural Language, Text Analytics, Artificial Intelligence, Deep Learning, Chatbots, NLG, NLU, AI, Multilanguage, NLP for Chatbots, Finance, Banking, "Multilingual synthetic data", aws

[fa icon="comment"] 0 Comments

Today, we're proud to announce that we have partnered with Amazon to bring the power of our Multilingual NLU engines (powered with our Synthetic Training Data) to Amazon Connect. As a first step, we’ve set up two new services -Instant LexBot and LexBot Booster- available on the AWS Marketplace, with our Custom LexBot projects service also available on demand.

Read More [fa icon="long-arrow-right"]

Some figures on chatbots and eCommerce

[fa icon="calendar'] Dec 31, 2019 2:30:00 PM / by Bitext posted in Machine Learning, NLP, Big Data, Bitext, Deep Linguistic Analysis, Natural Language, Text Analytics, Artificial Intelligence, Deep Learning, Chatbots, NLU, AI, Multilanguage, NLP for Chatbots, "Multilingual synthetic data", aws

[fa icon="comment"] 0 Comments

When we talk about the usefulness of chatbots, we sometimes look at it as a black or white matter. Yet, the issue is not whether chatbots are useful or not, it’s rather how useful they are, and whether it is worth keeping them.

Read More [fa icon="long-arrow-right"]

Bitext’s Customer Support Dataset for free

[fa icon="calendar'] Dec 26, 2019 5:15:00 PM / by Bitext posted in Machine Learning, NLP, Big Data, Bitext, Deep Linguistic Analysis, Natural Language, Text Analytics, Artificial Intelligence, Deep Learning, Chatbots, NLU, AI, Multilanguage, NLP for Chatbots, "Multilingual synthetic data", aws

[fa icon="comment"] 0 Comments

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.

Read More [fa icon="long-arrow-right"]

Amazon Connect: the new step into chatbots

[fa icon="calendar'] Dec 24, 2019 5:00:00 PM / by Bitext posted in Machine Learning, NLP, Big Data, Bitext, Deep Linguistic Analysis, Natural Language, Text Analytics, Artificial Intelligence, Deep Learning, Chatbots, NLU, AI, Multilanguage, NLP for Chatbots, "Multilingual synthetic data", aws

[fa icon="comment"] 0 Comments

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.

Read More [fa icon="long-arrow-right"]

Subscribe to email Updates