RPA is a set of tools that transfer the job of automation from an in-house software developer to anyone. So how exactly can one use RPA to automate these tasks? How easy it for a non-programmer to use?
We’ll be exploring some of the use cases where such a technology can be applied and understand its limitations. We’ll also be exploring how to build on RPA and integrate it with other data science techniques to explore some of the more complicated use cases. Such methods will enable project teams to relieve themselves of the burden of the mundane and focus on the higher value added activity. Together, we can begin to transform how project teams operate.
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James Smith
Dr James Smith is the Chief Technology Officer and lead Data Scientist within Projecting Success and has a broad remit spanning data analysis through to machine learning; he has a passion for using emerging methods to transform how projects are delivered. He has an applied mathematics PhD and specialised in Orthogonal Polynomials and the Painlevé equations. He spent 2 years lecturing mathematics at the University of Kent before making the natural transition to Data Scientist in 2017.