Data Transformers Podcast
Is Video Artificial Intelligence Ready for Prime Time?
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Episode Title: Is Video AI Ready For Prime Time?
Episode Summary:
Video AI is a growing market with lots of innovation. The Video AI market encompasses Video surveillance, Automatic/self-drive vehicles, content moderation in video, automatic video editing. Convolution Neural Networks is the backbone of Video AI in many applications and the challenge lies in training the data as well as abstracting the outcomes for better outpost. The field is still emerging and the technology is still evolving in many of these areas. As an example, even though Youtube would like to have a general understanding of the video so they know when to insert relevant ads, the technology to do that is just emerging. Dale Hitt, who worked at many startups as well as large companies, goes over his experience with innovation at small and large companies.
(02:29) What is ADAS? Video intelligence in cars.
(03:10) Computer vision in sports
(04:43): Cambria technology – How it helps Vision AI
(05:58): Video intelligence in at-home fitness equipment
(08:11) Training data for video applications. Challenges with limited data and unrelated data
(10:20): Limitations of convolution neural networks and need for abstraction layers instead of more variables
(12:13): Various market segments for video AI applications
(14:37): Security surveillance market segment
(15:18): Video understanding in Youtube for monetization
(17:21): AV8.AI, a community for Video AI innovators for all market segments like content moderation, automatic video editing, self-driving vehicles
(19:29): Missile guidance systems to AI startups – Professional journey
(21:52): Startup journeys – From VC backed to bootstrapped – what is it like?
(23:19): Lessons from Tivo startup journey
(24:53): Challenges of innovating at large companies
(25:59): Transferable lessons from startups
Resources mentioned in this episode:
https://AV8.Ai Community
Data Transformers Podcast
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