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In the fight: Scaling AI/ML in defense with Colin Carroll

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Manage episode 349308309 series 2909157
Conteúdo fornecido por Acquisition Talk and Eric Lofgren. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Acquisition Talk and Eric Lofgren 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.
I was pleased to have Colin Carroll join me on the Acquisition Talk podcast to discuss the acquisition of machine learning in the Department of Defense. He is the Director of Government Relations at Applied Intuition, a company that enables autonomous vehicles through simulation development and validation. Before that, Colin had a number of positions including Chief Operating Officer at the JAIC, mission Integration Lead for Project Maven, and 10 years of active service in the Marine Corps. 2:30 -Project Maven started with Bob Work and 10 slides 6:30 - Everyone in the Pentagon's in the fight 10:30 - There's not yet an urgency like in 2009 with MRAP 12:30 - How JAIC operations differed from Project Maven 15:00 - DoD autonomy programs often have zero data 17:00 - How to structure AI/ML programs in DoD 19:00 - The Joint Common Foundations is no more 24:40 - Most DoD's data is owned by industry 27:00 - DoD is buying brittle AI/ML models 29:00 - Competing with GOTS software 31:00 - Separating HW acquisition from SW 37:00 - DoD's $2B AI/ML spending estimate likely high 42:00 - We don't win by reforming SBIR 59:20 - The buzzword of JADC2 1:05:16 - The idea behind Title 10 failed 1:09:50 - Force Design 2030 and the future fight 1:20:10 - How to build a defense team at a tech company This podcast was produced by Eric Lofgren. You can follow me on Twitter @AcqTalk and find more information at https://AcquisitionTalk.com
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166 episódios

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iconCompartilhar
 
Manage episode 349308309 series 2909157
Conteúdo fornecido por Acquisition Talk and Eric Lofgren. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Acquisition Talk and Eric Lofgren 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.
I was pleased to have Colin Carroll join me on the Acquisition Talk podcast to discuss the acquisition of machine learning in the Department of Defense. He is the Director of Government Relations at Applied Intuition, a company that enables autonomous vehicles through simulation development and validation. Before that, Colin had a number of positions including Chief Operating Officer at the JAIC, mission Integration Lead for Project Maven, and 10 years of active service in the Marine Corps. 2:30 -Project Maven started with Bob Work and 10 slides 6:30 - Everyone in the Pentagon's in the fight 10:30 - There's not yet an urgency like in 2009 with MRAP 12:30 - How JAIC operations differed from Project Maven 15:00 - DoD autonomy programs often have zero data 17:00 - How to structure AI/ML programs in DoD 19:00 - The Joint Common Foundations is no more 24:40 - Most DoD's data is owned by industry 27:00 - DoD is buying brittle AI/ML models 29:00 - Competing with GOTS software 31:00 - Separating HW acquisition from SW 37:00 - DoD's $2B AI/ML spending estimate likely high 42:00 - We don't win by reforming SBIR 59:20 - The buzzword of JADC2 1:05:16 - The idea behind Title 10 failed 1:09:50 - Force Design 2030 and the future fight 1:20:10 - How to build a defense team at a tech company This podcast was produced by Eric Lofgren. You can follow me on Twitter @AcqTalk and find more information at https://AcquisitionTalk.com
  continue reading

166 episódios

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