Enabling the next generation in voice technology
summary
Voice moves from novelty to infrastructure: combining Speech-to-Text and NLP for call-center triage and remote-support automation, with a cited jump from 3% today to 25% by 2023 in worker voice use. Pipeline specifics include GPU-accelerated training, DGX benchmarking, and storage that scales from 10s of terabytes to multi-petabyte without slow rebuilds. Appliance and software pieces named include PowerScale, DataIQ and an AI-ready solution stack that aims to cut model retraining time and simplify data movement across cloud and on‑prem.
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chapters (23)
- 0:00Intro
- 0:50AI is everywhere
- 1:37Voice has impacted the next generation
- 3:27Processing
- 4:48Poll
- 6:00History
- 7:47AI Analytics
- 8:52After Design
- 9:13What is AI
- 11:00How do you get started
- 11:39Challenges
- 12:39Power scale ECS
- 14:04AI architecture
- 15:17Letter Bundle
- 16:16Scale
- 17:50AI Ready Solutions
- 19:26Nvidia Powerscale Family
- 20:30Data IQ
- 22:13Data first approach
- 22:55Future of data science
- 23:44Dell EMC Powerscale
- 24:23Use cases
- 25:19Wrap up
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