Inbenta Introduces its New Workspace

As part of its continuous evolution, Inbenta is now integrating all its products around a Customer Interaction Management platform, all orchestrated by our unique Symbolic AI. That means that as of September 2020, our customers…

GPT-3: A Tidal Wave of Hype

The Internet has been buzzing about GPT-3 for the past few days. Is it the “most powerful language model ever built” or not? (Spoiler: not really for many use cases, and we tell you about…

How to Build your Own Transactional Chatbot

Chatbots Magazine found out 67% of US millennials said they are likely to purchase products and services from brands using a chatbot. According to HubSpot, “47% of shoppers are open to purchasing items through a…

How to Boost your Digital Customer Experience

With the rise of digital channels and online shopping in the past decades, digital customer experience has become extremely important for companies around the globe in order to attract and retain customers. So as a…

3 Tips on How to Frame an AI Chatbot Project

Before starting to work on a chatbot project, it is necessary to ask yourself three key questions about this solution: Why, How and What? These three questions should underlie any project launch, namely the nature…

What Makes a Chatbot Conversational?

Chatbots have become extraordinarily popular in recent years largely due to technological advances, but not all of them are created equals. From basic button-based bots to NLP-driven conversational chatbots, what differentiate them and most importantly,…

The Inbenta Dictionary Builder

Inbenta’s NLP is informed by a large and comprehensive Lexicon Dictionary that includes hundreds of thousands of semantic relationships that model every component of a language and the world it describes. This Lexicon Dictionary makes…