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Sisällön tarjoaa Debbie Reynolds. Debbie Reynolds tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.
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The Data Diva E177 - Jay Averitt and Debbie Reynolds

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Manage episode 408904623 series 2897113
Sisällön tarjoaa Debbie Reynolds. Debbie Reynolds tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.

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Debbie Reynolds “The Data Diva” talks to Jay Averitt, Senior Privacy Product Manager/Privacy Engineer at Microsoft. We discuss Jay’s career trajectory into privacy engineering highlighting his early fascination with technology and law, leading to a career as a software engineer and later as a software engineer and licensed attorney. We emphasized the importance of integrating privacy considerations at the foundational level of design rather than as a reactive measure and highlighted the need for organizations to provide clear and concise privacy information to empower consumers. We also stressed the significance of building trust with users through transparent privacy practices and a user-centric approach to privacy. He emphasized the need to consider privacy fundamentals such as data minimization and transparency, particularly when storing customer data and addressing biases in AI models. He also expressed concerns about privacy and data collection in apps, emphasizing the need for better privacy considerations and consumer education. Debbie Reynolds and Jay Averitt concluded the meeting with mutual appreciation, emphasizing the evolving nature of privacy engineering, the value of diverse skills in this area, and the need to learn from past mistakes and prioritize transparency, especially in the context of LLMs handling potentially confidential information and his hope for Data Privacy in the future.
Many thanks to “The Data Diva” Talks Privacy Podcast “Privacy Champion” MineOS, for sponsoring this episode and supporting the podcast.

With constantly evolving regulatory frameworks and AI systems set to introduce monumental complications, data governance has become an even more difficult challenge. That’s why you need MineOS. The platform helps you control and manage your enterprise data by providing a continuous Single Source of Data Truth. Get yours today with a free personalized demo of MineOS, the industry’s top no-code privacy & data ops solution.

To find out more about MineOS visit their website at https://www.mineos.ai/

Support the Show.

  continue reading

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Artwork
iconJaa
 
Manage episode 408904623 series 2897113
Sisällön tarjoaa Debbie Reynolds. Debbie Reynolds tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.

Send us a Text Message.

Debbie Reynolds “The Data Diva” talks to Jay Averitt, Senior Privacy Product Manager/Privacy Engineer at Microsoft. We discuss Jay’s career trajectory into privacy engineering highlighting his early fascination with technology and law, leading to a career as a software engineer and later as a software engineer and licensed attorney. We emphasized the importance of integrating privacy considerations at the foundational level of design rather than as a reactive measure and highlighted the need for organizations to provide clear and concise privacy information to empower consumers. We also stressed the significance of building trust with users through transparent privacy practices and a user-centric approach to privacy. He emphasized the need to consider privacy fundamentals such as data minimization and transparency, particularly when storing customer data and addressing biases in AI models. He also expressed concerns about privacy and data collection in apps, emphasizing the need for better privacy considerations and consumer education. Debbie Reynolds and Jay Averitt concluded the meeting with mutual appreciation, emphasizing the evolving nature of privacy engineering, the value of diverse skills in this area, and the need to learn from past mistakes and prioritize transparency, especially in the context of LLMs handling potentially confidential information and his hope for Data Privacy in the future.
Many thanks to “The Data Diva” Talks Privacy Podcast “Privacy Champion” MineOS, for sponsoring this episode and supporting the podcast.

With constantly evolving regulatory frameworks and AI systems set to introduce monumental complications, data governance has become an even more difficult challenge. That’s why you need MineOS. The platform helps you control and manage your enterprise data by providing a continuous Single Source of Data Truth. Get yours today with a free personalized demo of MineOS, the industry’s top no-code privacy & data ops solution.

To find out more about MineOS visit their website at https://www.mineos.ai/

Support the Show.

  continue reading

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