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Building Scalable State-of-the-Art Conversational AI

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Event description
Learn how to measure your assistant’s performance and some practical use cases where conversational AI

About this Event

Mady will talk about natural language understanding (NLU) and conversational AI.

She'll outline a maturity model for contextual assistants describe how to grow from a simple chatbot that can answer FAQs to a contextual assistant that can engage in a flexible back-and-forth dialogue, and why that’s important for mission-critical conversational AI.

She’ll briefly talk about how to measure your assistant’s performance and some practical use cases where conversational AI can help enterprises automate repeatable processes and meet business outcomes.

Agenda:

4:50 pm - 5:00 pm Arrival and socializing

5:00 pm - 5:10 pm Opening

5:10 pm - 6:50 pm Mady Mantha, "Building Scalable State-of-the-Art Conversational AI"

6:50 pm - 7:00 pm Q&A

About Mady Mantha:

Mady Mantha is a senior evangelist and machine learning engineer with nearly 10 years of experience building ML-driven products. Mady’s work primarily focuses on conversational AI and NLU. She graduated from Georgetown University and is a space enthusiast.

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