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Natalie Kupperman on why we still need humans in the loop

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Manage episode 425684694 series 3371488
Conteúdo fornecido por Dropbox. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Dropbox ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

For our fifth episode of Working Smarter we’re talking to sports scientist Natalie Kupperman. She’s an assistant professor of data science at the University of Virginia where she studies the use of biometrics, wearables, and AI-powered tools for athlete monitoring in sport.

Whether it’s a machine learning algorithm trained on video footage from practice, a force plate sensor in the weight room floor—or some combination of the two—Kupperman is interested in how new technology can help reduce the risk of injury and optimize athletic performance for professional athletes and amateurs alike.

Hear Kupperman discuss a day in the life of a sports scientist, the importance of getting all of your data into one place, and why there will always be some injuries we can’t prevent.

Show notes:

~ ~ ~

Working Smarter is a new podcast from Dropbox about how AI is changing the way we work and get stuff done.

You can listen to more episodes of Working Smarter on Apple Podcasts, Spotify, YouTube Music, Amazon Music, or wherever you get your podcasts. To read more stories and past interviews, visit workingsmarter.ai

This show would not be possible without the talented team at Cosmic Standard, namely: our producers Samiah Adams and Aja Simpson, technical director Jacob Winik, and executive producer Eliza Smith. Special thanks to Benjy Baptiste for production assistance, our marketing and PR consultant Meggan Ellingboe, and our illustrators, Fanny Luor and Justin Tran. Our theme song was created by Doug Stuart. Working Smarter is hosted by Matthew Braga.

Thanks for listening!

  continue reading

22 episódios

Artwork
iconCompartilhar
 
Manage episode 425684694 series 3371488
Conteúdo fornecido por Dropbox. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Dropbox ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

For our fifth episode of Working Smarter we’re talking to sports scientist Natalie Kupperman. She’s an assistant professor of data science at the University of Virginia where she studies the use of biometrics, wearables, and AI-powered tools for athlete monitoring in sport.

Whether it’s a machine learning algorithm trained on video footage from practice, a force plate sensor in the weight room floor—or some combination of the two—Kupperman is interested in how new technology can help reduce the risk of injury and optimize athletic performance for professional athletes and amateurs alike.

Hear Kupperman discuss a day in the life of a sports scientist, the importance of getting all of your data into one place, and why there will always be some injuries we can’t prevent.

Show notes:

~ ~ ~

Working Smarter is a new podcast from Dropbox about how AI is changing the way we work and get stuff done.

You can listen to more episodes of Working Smarter on Apple Podcasts, Spotify, YouTube Music, Amazon Music, or wherever you get your podcasts. To read more stories and past interviews, visit workingsmarter.ai

This show would not be possible without the talented team at Cosmic Standard, namely: our producers Samiah Adams and Aja Simpson, technical director Jacob Winik, and executive producer Eliza Smith. Special thanks to Benjy Baptiste for production assistance, our marketing and PR consultant Meggan Ellingboe, and our illustrators, Fanny Luor and Justin Tran. Our theme song was created by Doug Stuart. Working Smarter is hosted by Matthew Braga.

Thanks for listening!

  continue reading

22 episódios

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