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Roland Woldt / J-M Erlendson에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Roland Woldt / J-M Erlendson 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Ep. 88 - AI-Driven Task Mining: Tuhin Chakraborty⁠

47:08
 
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Manage episode 475634445 series 3007154
Roland Woldt / J-M Erlendson에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Roland Woldt / J-M Erlendson 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

We have spoken about Task Mining in the podcast before (see the “Additional information” section in the full show notes), but I haven't seen a lot of adoption of this technology in organizations — for multiple reasons that we will discuss.

However, when we got into contact with Tuhin Chakraborty from Mimica, we could not say “no” to speaking with him about their AI-driven approach to Task Mining.

Tuhin grew up in the Bay Area, which means he was exposed to technology and the changes that we all see today his whole life. This led to positions at Pandora and LinkedIn, before he started Mimica Automation in 2017. Since then, he has perfected the AI technology behind this Task Mining tool to make it a “process improvement tool, not a performance measurement tool” (I love this attitude :-).

In this episode of the podcast, we are talking about:

  • Tuhin's background
  • What is Task Mining?
  • How does Task Mining work?
  • How Mimica captures the data and processes it
  • How is Task Mining deployed?
  • Using Task Mining to support changes in systems and monitoring the changes
  • The data management/surveillance problem with Task Mining (that creates trust problems if not handled correctly)
  • An outlook on the use of mining technology in the future
  • Case studies and how can a customer prepare for their first project

You can reach Tuhin and take a look at the tool over at mimica.ai.

Please reach out to us by either sending an email to [email protected] or sign up for our newsletter and get informed when we publish new episodes here: https://www.whatsyourbaseline.com/subscribe/.

  continue reading

124 에피소드

Artwork
icon공유
 
Manage episode 475634445 series 3007154
Roland Woldt / J-M Erlendson에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Roland Woldt / J-M Erlendson 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

We have spoken about Task Mining in the podcast before (see the “Additional information” section in the full show notes), but I haven't seen a lot of adoption of this technology in organizations — for multiple reasons that we will discuss.

However, when we got into contact with Tuhin Chakraborty from Mimica, we could not say “no” to speaking with him about their AI-driven approach to Task Mining.

Tuhin grew up in the Bay Area, which means he was exposed to technology and the changes that we all see today his whole life. This led to positions at Pandora and LinkedIn, before he started Mimica Automation in 2017. Since then, he has perfected the AI technology behind this Task Mining tool to make it a “process improvement tool, not a performance measurement tool” (I love this attitude :-).

In this episode of the podcast, we are talking about:

  • Tuhin's background
  • What is Task Mining?
  • How does Task Mining work?
  • How Mimica captures the data and processes it
  • How is Task Mining deployed?
  • Using Task Mining to support changes in systems and monitoring the changes
  • The data management/surveillance problem with Task Mining (that creates trust problems if not handled correctly)
  • An outlook on the use of mining technology in the future
  • Case studies and how can a customer prepare for their first project

You can reach Tuhin and take a look at the tool over at mimica.ai.

Please reach out to us by either sending an email to [email protected] or sign up for our newsletter and get informed when we publish new episodes here: https://www.whatsyourbaseline.com/subscribe/.

  continue reading

124 에피소드

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