Android Backstage, a podcast by and for Android developers. Hosted by developers from the Android engineering team, this show covers topics of interest to Android programmers, with in-depth discussions and interviews with engineers on the Android team at Google. Subscribe to Android Developers YouTube → https://goo.gle/AndroidDevs
…
continue reading
Innhold levert av Reliability Matters and Mike Konrad. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Reliability Matters and Mike Konrad eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
Player FM - Podcast-app
Gå frakoblet med Player FM -appen!
Gå frakoblet med Player FM -appen!
Episode 115: Making Sense of "Big Data"
MP3•Episoder hjem
Manage episode 357896562 series 2522856
Innhold levert av Reliability Matters and Mike Konrad. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Reliability Matters and Mike Konrad eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.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
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/
157 episoder
MP3•Episoder hjem
Manage episode 357896562 series 2522856
Innhold levert av Reliability Matters and Mike Konrad. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Reliability Matters and Mike Konrad eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.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
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/
157 episoder
Alle episoder
×Velkommen til Player FM!
Player FM scanner netter for høykvalitets podcaster som du kan nyte nå. Det er den beste podcastappen og fungerer på Android, iPhone og internett. Registrer deg for å synkronisere abonnement på flere enheter.