Combining RPA and Machine Learning

Celaton’s Commercial Director, Gina Gray and CTO, Richard Hill recently spoke with RPA Academy founder Edward Brooks about the evolving automation landscape and the importance of Intelligent Process Automation to organisations Digital Transformation Journeys.

The key takeaways from the session were:

  • 1.  Don’t limit your thinking to what you know technology can do today

    If you have reached barriers before in RPA projects, don’t assume that these barriers can’t be overcome with complementary solutions such as Machine Learning. In doing so you can embrace processing barriers, for example, document exceptions such as handwritten notes, because of the role that operators play in supporting the technologies learning through a process called ‘Human in the Loop’ (Find out more about ‘Human in the Loop’).

  • 2. Don’t treat Intelligent Process Automation and Digital Transformation as IT projects

    Digital Transformation is all about delivering the greatest value an organisations business users and suppliers and customers as a result. In order to do this, there needs to be an understanding of those process and daily, who better to provide these insights and lead projects than the people experiencing these processes on a daily basis.

To find out more about the applications and benefits of Intelligent Process Automation, watch the full webinar here:

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