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Data and The Last Mile Problem with Jay Limbasiya, Global AI & Data Science Business Development Lead at Dell Technologies
Manage episode 366663694 series 3255447
This episode of Over the Edge features an interview between Matt Trifiro and Jay Limbasiya, Global AI & Data Science business Development Lead at Dell Technologies. With a background in the United States Intelligence Community, Jay specializes in AI, data science, analytics, and data management.
Matt and Jay discuss why we should care about the edge, the complexities of deciding where to treat data and the last mile problem. They also talk about the benefits of data lakehouses and the current debate around the dangers of AI.
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Key Quotes:
“You can use this data maybe ten years down the road for something else, right? You can use it for a completely different type of use case you never even thought of. And that's why the data is so valuable. It's not so much the algorithm itself, it's can you capture this data and even save this data for maybe technology that hasn't even come out yet?”
“It definitely doesn't make sense to me to completely say, Hey, the data's too large at the edge, so we're just not gonna consume it… that obviously doesn't make sense. I think there's a efficiency play out here as well. And that efficiency play is, obviously it costs money to store data, so let's make sure we store the right data.”
“What's the value of the data that you're collecting and how can these pieces of data enhance the algorithm at the edge? Because even though you deploy something on the edge in order to refine it for future trends, maybe four years down the road, or three years down the road, you still need data to be able to kind of do that R and D work.”
“The core is actually where you identify, is there data I'm missing? Is there something I haven't even collected?”
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Show Timestamps:
(02:30) Jay’s start in technology
(07:01) Working in U.S. intelligence
(09:00) Why we should care about edge?
(13:26) How to make decisions about managing and treating data
(18:45) The Last Mile Problem
(26:00) Data cleansing
(29:00) Data analysis at the edge
(30:00) Training the models and pushing them towards the edge
(35:14) Data lakehouses
(44:42) Jay’s thoughts on the dangers of AI
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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 DellTechnologies.com/SimplifyYourEdge for more information or click on the link in the show notes.
--------
Links:
Follow Matt Trifiro on Twitter: https://twitter.com/mtrifiro
Follow Matt Trifiro on LinkedIn: http://linkedin.com/in/mtrifiro
Connect with Jay Limbasiya on LinkedIn: https://www.linkedin.com/in/jaylimbasiya/
89 episodes
Manage episode 366663694 series 3255447
This episode of Over the Edge features an interview between Matt Trifiro and Jay Limbasiya, Global AI & Data Science business Development Lead at Dell Technologies. With a background in the United States Intelligence Community, Jay specializes in AI, data science, analytics, and data management.
Matt and Jay discuss why we should care about the edge, the complexities of deciding where to treat data and the last mile problem. They also talk about the benefits of data lakehouses and the current debate around the dangers of AI.
---------
Key Quotes:
“You can use this data maybe ten years down the road for something else, right? You can use it for a completely different type of use case you never even thought of. And that's why the data is so valuable. It's not so much the algorithm itself, it's can you capture this data and even save this data for maybe technology that hasn't even come out yet?”
“It definitely doesn't make sense to me to completely say, Hey, the data's too large at the edge, so we're just not gonna consume it… that obviously doesn't make sense. I think there's a efficiency play out here as well. And that efficiency play is, obviously it costs money to store data, so let's make sure we store the right data.”
“What's the value of the data that you're collecting and how can these pieces of data enhance the algorithm at the edge? Because even though you deploy something on the edge in order to refine it for future trends, maybe four years down the road, or three years down the road, you still need data to be able to kind of do that R and D work.”
“The core is actually where you identify, is there data I'm missing? Is there something I haven't even collected?”
---------
Show Timestamps:
(02:30) Jay’s start in technology
(07:01) Working in U.S. intelligence
(09:00) Why we should care about edge?
(13:26) How to make decisions about managing and treating data
(18:45) The Last Mile Problem
(26:00) Data cleansing
(29:00) Data analysis at the edge
(30:00) Training the models and pushing them towards the edge
(35:14) Data lakehouses
(44:42) Jay’s thoughts on the dangers of AI
--------
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 DellTechnologies.com/SimplifyYourEdge for more information or click on the link in the show notes.
--------
Links:
Follow Matt Trifiro on Twitter: https://twitter.com/mtrifiro
Follow Matt Trifiro on LinkedIn: http://linkedin.com/in/mtrifiro
Connect with Jay Limbasiya on LinkedIn: https://www.linkedin.com/in/jaylimbasiya/
89 episodes
All episodes
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