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Real-time conversational insights from phone call data

Real-time conversational insights from phone call data

FromPractical AI: Machine Learning, Data Science


Real-time conversational insights from phone call data

FromPractical AI: Machine Learning, Data Science

ratings:
Length:
52 minutes
Released:
Feb 17, 2020
Format:
Podcast episode

Description

Daniel and Chris hang out with Mike McCourt from Invoca to learn about the natural language processing model architectures underlying Signal AI. Mike shares how they process conversational data, the challenges they have to overcome, and the types of insights that can be harvested.
Released:
Feb 17, 2020
Format:
Podcast episode

Titles in the series (100)

Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, and more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!