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Why Traditional Learning Doesn't Cut it in a World of Rapidly Changing Technology

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Manage episode 426683016 series 3174661
Content provided by The Sociable. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Sociable 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.

With technology advancing rapidly, have you ever stopped to think if our style of learning should be advancing with it? The term information overload is nothing new, but what are we doing to address it?

That’s where Ruban Phukan steps in. He’s an entrepreneur who sat down with Erick Espinosa for this episode of Brains Byte Back to discuss the issue of traditional learning in a world where time is a luxury. However, we’re still expected to learn about technological changes in our respective industries and apply it to our work at the same speed technology is advancing. Ruban says there is a better way, and it’s called GoodGist.

One-third of an employee's day is spent researching information online. It highlights that much of their time is dedicated to researching rather than applying, essentially eating away at productivity. This ignited Ruban's idea for GoodGist, an AI software that helps companies support, learn, and grow through a centralized platform that delivers specific learning modules to individuals based on their work requirements.

Find out more about Ruban Phukan here (Linkedin) -

Find out more about GoodGist (website) -

https://www.goodgist.com/

Brains Byte Back:

Reach out to today's host, Erick Espinosa (Linkedin) -

linkedin.com/in/erick-espinosa

Get the latest on tech news - https://sociable.co/

Leave an iTunes review - https://rb.gy/ampk26

Follow us on your favourite podcast platform - https://link.chtbl.com/rN3x4ecY

Find out more about our sponsor Publicize - https://publicize.co/startup-resources/

https://www.linkedin.com/in/ruban/

  continue reading

171 episodes

Artwork
iconShare
 
Manage episode 426683016 series 3174661
Content provided by The Sociable. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Sociable 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.

With technology advancing rapidly, have you ever stopped to think if our style of learning should be advancing with it? The term information overload is nothing new, but what are we doing to address it?

That’s where Ruban Phukan steps in. He’s an entrepreneur who sat down with Erick Espinosa for this episode of Brains Byte Back to discuss the issue of traditional learning in a world where time is a luxury. However, we’re still expected to learn about technological changes in our respective industries and apply it to our work at the same speed technology is advancing. Ruban says there is a better way, and it’s called GoodGist.

One-third of an employee's day is spent researching information online. It highlights that much of their time is dedicated to researching rather than applying, essentially eating away at productivity. This ignited Ruban's idea for GoodGist, an AI software that helps companies support, learn, and grow through a centralized platform that delivers specific learning modules to individuals based on their work requirements.

Find out more about Ruban Phukan here (Linkedin) -

Find out more about GoodGist (website) -

https://www.goodgist.com/

Brains Byte Back:

Reach out to today's host, Erick Espinosa (Linkedin) -

linkedin.com/in/erick-espinosa

Get the latest on tech news - https://sociable.co/

Leave an iTunes review - https://rb.gy/ampk26

Follow us on your favourite podcast platform - https://link.chtbl.com/rN3x4ecY

Find out more about our sponsor Publicize - https://publicize.co/startup-resources/

https://www.linkedin.com/in/ruban/

  continue reading

171 episodes

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