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Contenido proporcionado por Alan Pentz and Corner Alliance. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Alan Pentz and Corner Alliance o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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AI in Government: Current State and Future Potential with Nathan Manzotti of GSA

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Contenido proporcionado por Alan Pentz and Corner Alliance. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Alan Pentz and Corner Alliance o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
In this episode of AI, Government, and the Future, we are joined by Nathan Manzotti, Director of Data Analytics and AI Centers of Excellence at the General Services Administration (GSA), to discuss the current state and future potential of AI in the federal government. They explore GSA's role in enabling AI adoption across agencies, key initiatives like AI training and communities of practice, and the challenges of attracting AI talent in government. Nathan also shares his insights on the need for collaboration between government, industry, academia, and nonprofits to drive responsible AI innovation.

Nathan oversees GSA's Centers of Excellence program, which provides fee-for-service consulting to federal agencies on data analytics, AI, customer experience, contact centers, and cloud. He shares examples of AI projects, such as an image classification model to grade beef for the USDA.

The discussion delves into the AI landscape across federal agencies, with Nathan describing cycles of excitement and fear as agencies navigate the rapid pace of AI development. He highlights the importance of the recent AI Executive Order in bringing attention to key issues like workforce development, governance, and responsible use.

Nathan also shares his vision for AI communities of practice as connectors between government, industry, academia and nonprofits to facilitate knowledge sharing and drive AI progress. He emphasizes the distinct but complementary roles these groups play in the "machine of collective society."

Throughout the conversation, Nathan offers candid insights on the challenges and opportunities of AI in government, from technical implementation to policy considerations and talent gaps.

If you enjoyed this episode, make sure to subscribe, rate and review on Apple Podcasts, Spotify and Google Podcasts, instructions on how to do this are here.

Tune in here:

Connect with the host and guests here:

If you are interested in joining AI, Government, and the Future as a guest, please complete this form: fame.so/cai-guest
  continue reading

36 episodios

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iconCompartir
 
Manage episode 414296496 series 3512115
Contenido proporcionado por Alan Pentz and Corner Alliance. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Alan Pentz and Corner Alliance o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
In this episode of AI, Government, and the Future, we are joined by Nathan Manzotti, Director of Data Analytics and AI Centers of Excellence at the General Services Administration (GSA), to discuss the current state and future potential of AI in the federal government. They explore GSA's role in enabling AI adoption across agencies, key initiatives like AI training and communities of practice, and the challenges of attracting AI talent in government. Nathan also shares his insights on the need for collaboration between government, industry, academia, and nonprofits to drive responsible AI innovation.

Nathan oversees GSA's Centers of Excellence program, which provides fee-for-service consulting to federal agencies on data analytics, AI, customer experience, contact centers, and cloud. He shares examples of AI projects, such as an image classification model to grade beef for the USDA.

The discussion delves into the AI landscape across federal agencies, with Nathan describing cycles of excitement and fear as agencies navigate the rapid pace of AI development. He highlights the importance of the recent AI Executive Order in bringing attention to key issues like workforce development, governance, and responsible use.

Nathan also shares his vision for AI communities of practice as connectors between government, industry, academia and nonprofits to facilitate knowledge sharing and drive AI progress. He emphasizes the distinct but complementary roles these groups play in the "machine of collective society."

Throughout the conversation, Nathan offers candid insights on the challenges and opportunities of AI in government, from technical implementation to policy considerations and talent gaps.

If you enjoyed this episode, make sure to subscribe, rate and review on Apple Podcasts, Spotify and Google Podcasts, instructions on how to do this are here.

Tune in here:

Connect with the host and guests here:

If you are interested in joining AI, Government, and the Future as a guest, please complete this form: fame.so/cai-guest
  continue reading

36 episodios

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