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Explainable AI with Seekar Technologies, CEO, Kordel France

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Manage episode 302326218 series 2093893
Content provided by Kane Simms. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kane Simms 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.

Kordel France discusses how Seekar Technologies is approaching AI and how it's using its unique technologies and multi-model processing of a variety of input signals (from speech, to vision, to radar and other signals) and helping disadvantaged industries such as medicine, agriculture and manufacturing solve some core problems.

From using speech recognition to detect whether someone is lying, to mental health screening and how combining voice AI with other inputs and modalities can have a huge impact on the value of the solution.

Seekar's approach is to reduce bias in AI processing through it's 'explainable' AI developer features that allow teams to understand the specific parts of a neural network and highlight which areas are performing well and poorly given a variety of input sources (such as different gendered voices).

Links

Check out Seekar Technologies

Connect with Kordel France on LinkedIn

Kordel France on Twitter



Hosted on Acast. See acast.com/privacy for more information.

  continue reading

322 episodes

Artwork
iconShare
 
Manage episode 302326218 series 2093893
Content provided by Kane Simms. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kane Simms 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.

Kordel France discusses how Seekar Technologies is approaching AI and how it's using its unique technologies and multi-model processing of a variety of input signals (from speech, to vision, to radar and other signals) and helping disadvantaged industries such as medicine, agriculture and manufacturing solve some core problems.

From using speech recognition to detect whether someone is lying, to mental health screening and how combining voice AI with other inputs and modalities can have a huge impact on the value of the solution.

Seekar's approach is to reduce bias in AI processing through it's 'explainable' AI developer features that allow teams to understand the specific parts of a neural network and highlight which areas are performing well and poorly given a variety of input sources (such as different gendered voices).

Links

Check out Seekar Technologies

Connect with Kordel France on LinkedIn

Kordel France on Twitter



Hosted on Acast. See acast.com/privacy for more information.

  continue reading

322 episodes

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