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Generative AI at the Edge with Daniel Situnayake, Head of ML and Jenny Plunkett, Senior Developer Relations Engineer at Edge Impulse

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Manage episode 383927227 series 3255447
Content provided by Caspian Studios. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Caspian Studios 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.

How is AI being used at the edge, and what possibilities does this create for businesses? In this episode, host Bill Pfeifer sits down with the co-authors of the book AI at the Edge, Jenny Plunkett, Senior Developer Relations Engineer and Daniel Situnayake, Head of ML at Edge Impulse. They discuss how to determine which problems can actually be addressed through AI at the edge, how to think about effective AI, and unexpected use cases in generative AI and synthetic data generation. Plus, they cover how AI can support data distillation efforts and how to build teams that can successfully navigate this landscape.
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Key Quotes:

“We're going to be using generative AI to help us build a synthetic data set to train other AI models to deploy to edge devices.” - Jenny

“One of the things that's really cool about synthetic data and using generative AI for that, is it potentially reduces the cost of training a model because instead of having to spend huge amounts of money labeling all this data, if you create the data yourself, you can have it implicitly be labeled.” - Dan

--------

Show Timestamps:

(01:49) How did they get started in tech?

(03:14) What brought them to AI?

(08:12) What brought them together to write their book?

(13:26) Determining which problems can be addressed with AI at the edge

(15:51) What possibilities does AI at the edge create for businesses?

(20:41) Synthetic data and generative AI

(24:15) Using AI for data distillation

(31:00) Building a skilled and interdisciplinary team

(39:30) AI’s transition from a career path to a tool

(43:06) Effective AI

(46:46) Edge / wildlife conservation case study

(49:37) What are they excited about moving forward?

--------

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.

--------

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 and Eric Platenyk.

--------

Links:

Follow Bill on LinkedIn

Connect with Jenny Plunkett on LinkedIn

Connect with Daniel Situnayake on LinkedIn and Twitter

Daniel’s substack

  continue reading

92 episodes

Artwork
iconShare
 
Manage episode 383927227 series 3255447
Content provided by Caspian Studios. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Caspian Studios 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.

How is AI being used at the edge, and what possibilities does this create for businesses? In this episode, host Bill Pfeifer sits down with the co-authors of the book AI at the Edge, Jenny Plunkett, Senior Developer Relations Engineer and Daniel Situnayake, Head of ML at Edge Impulse. They discuss how to determine which problems can actually be addressed through AI at the edge, how to think about effective AI, and unexpected use cases in generative AI and synthetic data generation. Plus, they cover how AI can support data distillation efforts and how to build teams that can successfully navigate this landscape.
---------

Key Quotes:

“We're going to be using generative AI to help us build a synthetic data set to train other AI models to deploy to edge devices.” - Jenny

“One of the things that's really cool about synthetic data and using generative AI for that, is it potentially reduces the cost of training a model because instead of having to spend huge amounts of money labeling all this data, if you create the data yourself, you can have it implicitly be labeled.” - Dan

--------

Show Timestamps:

(01:49) How did they get started in tech?

(03:14) What brought them to AI?

(08:12) What brought them together to write their book?

(13:26) Determining which problems can be addressed with AI at the edge

(15:51) What possibilities does AI at the edge create for businesses?

(20:41) Synthetic data and generative AI

(24:15) Using AI for data distillation

(31:00) Building a skilled and interdisciplinary team

(39:30) AI’s transition from a career path to a tool

(43:06) Effective AI

(46:46) Edge / wildlife conservation case study

(49:37) What are they excited about moving forward?

--------

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.

--------

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 and Eric Platenyk.

--------

Links:

Follow Bill on LinkedIn

Connect with Jenny Plunkett on LinkedIn

Connect with Daniel Situnayake on LinkedIn and Twitter

Daniel’s substack

  continue reading

92 episodes

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