Voice technology and natural language recognition is at the forefront of AI development that is transforming our everyday life, and will undoubtedly be part of our future. Deep learning is at the core of identifying and processing voice for automation and new innovations.
Join this Data Science Central webinar as conversational AI pioneer, Voicebox, shares their journey from an on-premise system that was manually intensive and costly to maintain, to an agile cloud platform that has allowed them to build, schedule, and run multiple production data pipelines that feed into their deep learning models with ease.
In this webinar we will cover:
The challenges they faced with a highly complex legacy system
How they chose their final technology configuration
How they configured their system to allow them to process data much faster and more reliably
How they worked with their existing technology stack, including ElasticSearch, Redshift, and S3
Lessons learned from their data analytics journey
Peyvand Khademi, Director, Data Platform and Services — Voicebox
Lynn Armstrong, Data Architect — Voicebox
Bill Vorhies, Editorial Director — Data Science Central