How’s your Customer Experience (CX)?
Today’s top organizations use Machine Learning (ML) and Natural Language Processing (NLP) to extract insights from unstructured customer touchpoint data, including call-center voice recordings, email, surveys, social media, and more.
Join Omni-Channel Analytics Director, Brian Atkiss shows you ways to use advanced analytics to assess and improve your Customer Experience (CX), and provide an overview of top use cases, data types, and CX Analytics tools/techniques.
This webinar also covers:
1. Using supervised vs unsupervised Machine Learning (ML) to analyze unstructured data.
2. Using Natural Language Processing to analyze unstructured data sets
3. Common use cases top companies solve via Customer Experience data
How does your Customer Experience stack up?
Brian Atkiss is a Director of Analytics, and a ListenLogic Product Manager, focused on omni-channel and unstructured data analysis at Anexinet. Brian has nearly a decade of experience building analytics solutions that generate actionable insights for the Fortune 500, and has an extensive background in social listening and advanced analytics solutions around data integration, machine learning, and artificial intelligence.