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Using Big Data in Real-Time to fight pandemics, navigate traffic, analyze banking and more, with Paul Appleby of Kinetica

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Manage episode 317885483 series 3305572
Content provided by Marco Annunziata and Michael Leifman, Marco Annunziata, and Michael Leifman. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Marco Annunziata and Michael Leifman, Marco Annunziata, and Michael Leifman or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

On today's episode we speak with Paul Appleby, the CEO of Kinetica. Paul has held leadership roles in some very prominent tech companies, including SAP, SalesForce and C3, and he's now at the helm a big data startup, so he’s definitely been at the center of our changing economy, and has a lot to reflect upon.
We recorded our interview with Paul in early March of 2020 and we’ve delayed the release a bit because we wanted to give room for some of our M4 Corona Combatants mini-episodes to get some airtime and some of your mindshare. If you’ve not checked those out, please do. Of course, as you heard in the teaser quote at the top of the episode and as you’ll hear in the interview, Kinetica’s power and its platform can certainly be applied to many of the problems at hand in battling the Coronavirus.
Kinetica’s strength is its ability to take massive amounts of structured and unstructured data from diverse sources, and do the analytics in real time. Kinetica offers a glimpse into some of the imagined capabilities we’ve seen in movies for years, whether it’s analyzing banking transactions on the fly or the millions of pieces of real time data flow from a fully automated traffic system to tracking the unfolding of a pandemic. As Paul says, they’re at the crossroads of data, business and AI, and it’s an exciting place to be.
You’ll see that this is a classic M4Edge conversation. We cover a lot of ground from pandemics to terror threats to banking to dynamic supply chains, but also to what this all means for the future of work. We know you’re a curious lot, but even for us conversation really traversed a lot of ground, so buckle up.

PLEASE write us a review on Apple Podcasts, it really does make a difference. And PLEASE share an episode or the show links with a friend or on social media, and help us build or community of Curious Listeners.

  continue reading

64 episodes

Artwork
iconShare
 
Manage episode 317885483 series 3305572
Content provided by Marco Annunziata and Michael Leifman, Marco Annunziata, and Michael Leifman. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Marco Annunziata and Michael Leifman, Marco Annunziata, and Michael Leifman or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

On today's episode we speak with Paul Appleby, the CEO of Kinetica. Paul has held leadership roles in some very prominent tech companies, including SAP, SalesForce and C3, and he's now at the helm a big data startup, so he’s definitely been at the center of our changing economy, and has a lot to reflect upon.
We recorded our interview with Paul in early March of 2020 and we’ve delayed the release a bit because we wanted to give room for some of our M4 Corona Combatants mini-episodes to get some airtime and some of your mindshare. If you’ve not checked those out, please do. Of course, as you heard in the teaser quote at the top of the episode and as you’ll hear in the interview, Kinetica’s power and its platform can certainly be applied to many of the problems at hand in battling the Coronavirus.
Kinetica’s strength is its ability to take massive amounts of structured and unstructured data from diverse sources, and do the analytics in real time. Kinetica offers a glimpse into some of the imagined capabilities we’ve seen in movies for years, whether it’s analyzing banking transactions on the fly or the millions of pieces of real time data flow from a fully automated traffic system to tracking the unfolding of a pandemic. As Paul says, they’re at the crossroads of data, business and AI, and it’s an exciting place to be.
You’ll see that this is a classic M4Edge conversation. We cover a lot of ground from pandemics to terror threats to banking to dynamic supply chains, but also to what this all means for the future of work. We know you’re a curious lot, but even for us conversation really traversed a lot of ground, so buckle up.

PLEASE write us a review on Apple Podcasts, it really does make a difference. And PLEASE share an episode or the show links with a friend or on social media, and help us build or community of Curious Listeners.

  continue reading

64 episodes

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