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Contenido proporcionado por Reliability Matters and Mike Konrad. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Reliability Matters and Mike Konrad 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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Episode 115: Making Sense of "Big Data"

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Contenido proporcionado por Reliability Matters and Mike Konrad. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Reliability Matters and Mike Konrad 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.
You don't have to be in the tech industry you understand importance and value of data. Industries have always collected various sets of data, first manually and, in modern times, automatically. The volume of data has historically been limited to the ability to capture and store it. Recent advances in technology have vastly increased the ability to capture and store data. The industry 4.0 movement has fueled both of desire and requirement to capture data.
We have created a "be careful what you ask for" scenario as we now are capturing data at an unprecedented rate but frequently lack the ability to discern and analyze all of our newly captured data.
My guest today, Luisa Herrmann, Head of Product for Arch Systems, is helping to transform "big data" into useful data. Luisa has 10 years of experience in Product Management and Product Marketing, launching products, building teams, and scaling organizations in the data software space. She was most recently the Head of Product at Cape Privacy, an encrypted machine learning company, and before that she was the Head of Product at expert.ai, an NLP company. She has a degree in Chemical Engineering from the University of Pennsylvania and lives in the Boston area.
Luisa Herrmann may be contacted here:
lherrmann@archsys.io
https://archsys.io/
  continue reading

150 episodios

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Episode 115: Making Sense of "Big Data"

Reliability Matters

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Manage episode 357896562 series 2522856
Contenido proporcionado por Reliability Matters and Mike Konrad. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Reliability Matters and Mike Konrad 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.
You don't have to be in the tech industry you understand importance and value of data. Industries have always collected various sets of data, first manually and, in modern times, automatically. The volume of data has historically been limited to the ability to capture and store it. Recent advances in technology have vastly increased the ability to capture and store data. The industry 4.0 movement has fueled both of desire and requirement to capture data.
We have created a "be careful what you ask for" scenario as we now are capturing data at an unprecedented rate but frequently lack the ability to discern and analyze all of our newly captured data.
My guest today, Luisa Herrmann, Head of Product for Arch Systems, is helping to transform "big data" into useful data. Luisa has 10 years of experience in Product Management and Product Marketing, launching products, building teams, and scaling organizations in the data software space. She was most recently the Head of Product at Cape Privacy, an encrypted machine learning company, and before that she was the Head of Product at expert.ai, an NLP company. She has a degree in Chemical Engineering from the University of Pennsylvania and lives in the Boston area.
Luisa Herrmann may be contacted here:
lherrmann@archsys.io
https://archsys.io/
  continue reading

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