James will provide us with a demo based upon some real world examples. He will walk us through the process of how to break down the business problem, develop the data model and structure the graph. He will then walk us through NASA's approach to lessons learned and show how we can use what they’ve done to improve other areas of project delivery. We will explore the idea of connected data using a latent Dirichlet Allocation (LDA) and experiment with alternative use cases for how to exploit the value that such an algorithm could provide.
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Driving Insights Out of Connected Data to Transform Project Management
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.