Learn how this deep learning technology is generating increased revenue and improved customer outcomes.
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.
Emotion AI
Behavioral Signals CEO, Rana Gujral, joins us to share how its emotional AI mediated technology is leading to 12-17% revenue improvement, +8% Call Success Ratio and +10% Customer Satisfaction in the call centre.
We discuss how Behavioral Signals technology works and the use cases it enables, such as:
– AI mediated conversations, which is able to take a voice print of call centre agents to understand their conversational style, then take the same voice print from a caller and automatically pair the caller with an agent that matches their conversational style. This results in better conversations and customer experience, improving CSAT and NPS.
– Oliver AI, which is a suite of APIs that allows developers and brands to build their own solutions using Behavioral Signals core technology.
We also discuss Rana Gujral career and learnings from his experience founding and selling companies in the emerging technology space.
