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MBS933-Turning Video into Data with Douglas Chrystall of TruVideo

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Manage episode 510363634 series 1001742
Content provided by www.MattBrownShow.com. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by www.MattBrownShow.com or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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In this episode, Matt Brown sits with Douglas Chrystall, Co-founder and CTO of TruVideo, to explore how enterprise video delivers real transparency in complex workflows. Douglas explains how TruVideo dominated automotive service before expanding into heavy trucking and marine, why fitting natively into daily operations beats any feature checklist, and how the team uses AI to produce accurate translations and turn video into structured data that proves process compliance.
They dig into prompt craft, combating hallucinations, training on first-party media at scale, and the difference between skinning an LLM and building domain-native capability.
They also touch on personal AI use, skepticism around .ai branding, and whether agents will disrupt aggregators and change the role of websites.

Support the show

  continue reading

886 episodes

Artwork
iconShare
 
Manage episode 510363634 series 1001742
Content provided by www.MattBrownShow.com. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by www.MattBrownShow.com or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Send us a text

In this episode, Matt Brown sits with Douglas Chrystall, Co-founder and CTO of TruVideo, to explore how enterprise video delivers real transparency in complex workflows. Douglas explains how TruVideo dominated automotive service before expanding into heavy trucking and marine, why fitting natively into daily operations beats any feature checklist, and how the team uses AI to produce accurate translations and turn video into structured data that proves process compliance.
They dig into prompt craft, combating hallucinations, training on first-party media at scale, and the difference between skinning an LLM and building domain-native capability.
They also touch on personal AI use, skepticism around .ai branding, and whether agents will disrupt aggregators and change the role of websites.

Support the show

  continue reading

886 episodes

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