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

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Manage episode 305902501 series 2927369
Inhoud geleverd door Data Transformers Podcast. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Data Transformers Podcast of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.
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

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Artwork
iconDelen
 
Manage episode 305902501 series 2927369
Inhoud geleverd door Data Transformers Podcast. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Data Transformers Podcast of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.
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

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