In this episode, I am exploring some of the ideas on why intelligent automation has not gained track and why is it attacked so much by some scared people? Are we doing some witch hunting here with people who, like Galilei, tried to pursue the truth? Food for thought

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In this episode, I am exploring the constant rejection that I faced as intelligent automation product owner from a lot of business people, and why I consider this an anarchy problem without any current manager being able to bring order to direct people to use automation instead of doing the process manually

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In this short episode, I am exploring what are the activities that business teams do more now, after automation is taking care of their repetitive tasks. Interesting answers from my interviews in my Fortune30, both business and IT, wait for you inside this short episode

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In this episode, I am discussing various aspects of my job as product owner, with I consider important tools in my day to day job

YouTube video on my sobriety journey, which helped to become a successful PO: https://www.youtube.com/watch?v=HZjlyKOPn7o

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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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