Most chatbots are pants. There’s one way to improve them tremendously, and this is it.
Presented by Deepgram and Symbl.ai
Deepgram is a Speech Company whose goal is to have every voice heard and understood. We have revolutionized speech-to-text (STT) with an End-to-End Deep Learning platform. This AI architectural advantage means you don’t have to compromise on speed, accuracy, scalability, or cost to build the next big idea in voice. Our easy-to-use SDKs and APIs allow developers to quickly test and embed our STT solution into their voice products. For more information, visit:
Symbl.ai is a Conversation Intelligence (CI) platform for building applications capable of understanding natural human conversations at scale. Their comprehensive suite of developer-centric products and APIs make it easy to build and deploy intelligent speech-to-text functionality, extract contextual insights, generate domain-specific insights and intelligence, and access advanced conversation analytics.
Drastically improving chatbot performance
Most chatbots are rubbish. Let’s face it. The only way you can improve the ability for chatbots to respond better is if you work on its ability to understand people.
That’s what QBox does.
We’re joined by CTO, Benoit Alvarez, to discuss why most companies have trouble building successful bots and how the QBox tooling drastically improves your chatbot’s performance.
For more information, visit https://qbox.ai