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.
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