How humans and bots working together in real time can lead to epic customer experiences.
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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:
See how easy it is to add simple but powerful call coaching and call tracking functionality to your customer experience solutions with Symbl.ai’s customizable Conversation Intelligence APIs. From calls to videos to text conversations — apply best in class contextual AI in no time by getting started for free.
Cobots: real time human and AI assistance
By now, you know that implementing a conversational AI strategy isn’t child’s play. It’s pretty hard work. And there are many moving parts that need to align to create a digital assistant that does what your customers need it to. Language classification at scale, catering for multiple languages, scaling across channels, tools, systems, data; do you outsource the whole thing or do it yourself? So many questions.
To dive into this and shed some light on how you should approach it, and how humans and bots working together in real time can lead to epic customer experiences, we’re joined by Lisa Michaud, Product Director, Interactions.
00:00 Intro and welcome Deepgram and Symbl.ai
04:45 About Lisa Michaud and Interactions
13:20 The challenges of natural language understanding
15:31 Humans and bots working together: co-bots
21:47 Further blending of humans and AI for tasks
25:35 Multi and Omni channel AI
29:00 Frailties of voice channel
32:30 Where to begin with multi and omni channel AI
38:35 Vertical vs horizontal domain AI
42:00 Time to deployment and importance of discovery
46:52 Balance of control vs complexity
51:06 Managing inflated expectations of AI
59:50 The future of context