Distributed Data Solutions with Jaxon Repp, Field CTO at HarperDB
Are we in the age of bespoke models? How long will that last? In this conversation, Bill sits down with Jaxon Repp, Field CTO at HarperDB, a globally-distributed edge application platform. They discuss solutions to managing distributed data, customized AI models and bringing the east of cloud to the edge.
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Key Quotes:“I think that we are in the age of bespoke models now. But I think like all things, unless you're flying a remote drone armed with missiles, you probably will be able to make do with a model that just handles the basics.”
“There's a lot of upside to still having the horsepower to do the cool things and not necessarily pushing out all the way to the edge.”
“If I can train on a set of averages, some sort of compressed nature, I can dramatically reduce the amount of data that I have. If I can train on summaries as well as I can train on the raw data, then I'm not going to hold on to that raw data for anything other than, you know, super emergency cases.”
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Timestamps:
(01:17) How Jaxon got started in tech and to HarperDB
(07:25) Determining product market fit
(13:18) How do we bring the ease of cloud to the edge?
(18:37) Solutions to distributed data
(25:50) The future importance of bespoke models
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Sponsor:Over the Edge is brought to you by Dell Technologies to unlock the potential of your infrastructure with edge solutions. From hardware and software to data and operations, across your entire multi-cloud environment, we’re here to help you simplify your edge so you can generate more value. Learn more by visiting dell.com/edge for more information or click on the link in the show notes.
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Credits:Over the Edge is hosted by Bill Pfeifer, and was created by Matt Trifiro and Ian Faison. Executive producers are Matt Trifiro, Ian Faison, Jon Libbey and Kyle Rusca. The show producer is Erin Stenhouse. The audio engineer is Brian Thomas. Additional production support from Elisabeth Plutko.
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Links:Follow Bill on LinkedIn
Connect with Jaxon Repp on LinkedIn
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