In this article, discover some examples of the most popular Natural Language Processing use cases and how NLP has been applied in different industries.
Latest advancements and top news about the core technology of Inbenta’s platform and solutions – from Artificial Intelligence to NLP and new integrations.
Time-to-market can definitely make or break the success of your chatbot. So is it really worth implementing? And if so, what do you need to take into account?
Standalone projects can be successful at first, but building a holistic project will always require integrations with other systems. That’s why we’ve built a catalog of third-party integrations to help our customers add additional capabilities to their Inbenta projects (chatbot, live chat, help sites and more).
Inbenta is always working at providing a holistic experience for our Customers. To make this possible, We partner with other products that augment Inbenta’s offering. Happy to announce our new integration with Botium.
Chatbot instances can act very differently depending on whether they’re based on NLP or machine learning approaches. Here’s a practical example of that.