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Can Video Artificial Intelligence help with use cases like Elderly care and Child care?

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Content provided by Data Transformers Podcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Data Transformers Podcast 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://ro.player.fm/legal.
Video AI is evolving and evolving rapidly in many segments such as healthcare for diagnostic purposes, MarTech for analyzing videos for brand recognition and Ad placement for example. Video AI usage in elderly care and child care are ripe for huge benefits as they require significant human participation. Video AI can address both costs as well as skill shortage in those areas. Personalization and analyzing consumer behavior are segments evolving for video AI usage. Still barriers exist in compute performance for modelling 3D world, real-time computing and inferencing, and barriers in power consumption especially in edge AI where there is limited power. While dealing with AI ethics, it is very important to separate privacy related issues from bias related issues. Bias is inherently in human beings and not in technology. So technology should be used to de-bias decisions.
  continue reading

50 episoade

Artwork
iconDistribuie
 
Manage episode 305902501 series 2927369
Content provided by Data Transformers Podcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Data Transformers Podcast 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://ro.player.fm/legal.
Video AI is evolving and evolving rapidly in many segments such as healthcare for diagnostic purposes, MarTech for analyzing videos for brand recognition and Ad placement for example. Video AI usage in elderly care and child care are ripe for huge benefits as they require significant human participation. Video AI can address both costs as well as skill shortage in those areas. Personalization and analyzing consumer behavior are segments evolving for video AI usage. Still barriers exist in compute performance for modelling 3D world, real-time computing and inferencing, and barriers in power consumption especially in edge AI where there is limited power. While dealing with AI ethics, it is very important to separate privacy related issues from bias related issues. Bias is inherently in human beings and not in technology. So technology should be used to de-bias decisions.
  continue reading

50 episoade

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