In this episode, I am exploring the tremendous growth of EY, arguably the best RPA consultancy out there, and the dream of a company without management levels, triggered by automating the vertical processes, not just the horizontal processes as of now

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In this episode, I am exploring some reasons why RPA projects fail. These were collected in the interviews I have done for my forthcoming book on the challenges of intelligent automation.

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In this episode, I am touching on the politics of automation, on how API is not the future and how RPA will eventually prevail by assimilating API. IT is in a very risky position right now because it is captured by some traditional IT, which has never understood RPA and wants to kill it. But they won't success and the longer they refuse to get RPA onboard, the more IT departments will suffer

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In this episode I am describing why I think Agile is great and how to measure improvement better in time by diving the capacity by the number of developers or even better, by the number of hours worked by the developers. In this way, you can compare yourself with your past self, because the traditional capacity does allow you to control for the number of people who work in the team

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In this episode, I am exploring two questions that I have asked 8 people, both in IT and business, and who have participated in RPA projects delivery before. The first question was if RPA really saves and time, the second what are the constraints of RPA. These 2 questions were part of the survey I did for my MBA thesis. The 10 questions together with their answers will be published in my forthcoming book on the challenges with implementing intelligent automation. 

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In this episode, I am reflecting on the top 3 use cases on which you can use the most important feature of intelligent automation. From Facebook data to real estate prices in your town, this feature will prove to be the base of the new processes that are invented as we speak by new process visionaries. 

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In this episode, I am arguing that a UiPath robot license has become recently a too high price to pay, when on the market there are several options to consider at similar capabilities for zero-licensing costs.

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In this episode, I touch the negativity from technical leads towards intelligent automation or RPA, I touch why intelligent automation is the future and how a future process might look like.

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In this episode, I am exploring some of the possibilities to augment the current "well-behaved" bots with other technologies. For example, I believe data science has a lot of potential to be incorporated as soon as possible into RPA bots. Why? Because the skills are already here, and because data is the new oil. Augmenting humans with machine learning recommendations seems to be the logical next step. 

Link to top 10 RPA blogs: https://blog.feedspot.com/rpa_podcasts/

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In this episode I am explaining my background and my interests. Also, I am explaining why my book will be the best book on RPA on the market. 

Link for RPA jobs market data for the last 4 weeks: https://fanaca.wordpress.com/average-number-of-rpa-jobs-per-company/

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