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[VIRTUAL] How To Get 3 Years Of Virtual Agent Learning In Fifteen Minutes

Fran Fernandez  (Chief Product Officer, Espressive)

Location: Session Page in Platform

Date: Wednesday, November 10

Time: 3:30pm - 3:45pm

Pass Type: 2-day Training + Standard Conference, 2-day Training Only, 3-day Training + Standard Conference, 3-day Training Only, Exhibit Hall Only, Premium Conference, Standard Conference, Virtual Event Only - Get your pass now!

Track: Virtual Demo

Session Type: Virtual Sponsored Session

Vault Recording: TBD

An effective virtual agent needs to have both high accuracy and knowledge in order to be truly valuable to an employee. On average, it takes three years to get a virtual agent to this point. Why does it take so much time? The problem is language. Employees do not talk in perfect speech and a virtual agent must have the ability to understand, from day one, what they are requesting in their natural language. This becomes harder the more topics you add, but if you release your virtual agent before this point, employees will likely abandon it.

A collective model, like the Barista Employee Language Cloud, starts you off with a language model that’s been trained with millions of data points and continues to learn. In this demo, Fran Fernandez, Chief Product Officer of Espressive, shows you how you can use the Employee Language Cloud to accelerate your virtual agent project.