Mark Roberts

Mark Roberts

Mark’s academic background is in Artificial Intelligence and Computer Science, in which he holds both a degree and a PhD. His area of specialism is in machine learning, and in particular the use of evolutionary algorithms to solve complex learning and optimisation problems. AI and machine learning are all about detecting and exploiting subtle patterns and signals in complex data, and these skills are now at the heart of modern analytics. After leaving academia, Mark spent many years working for Tessella’s pharmaceutical clients, helping them deal with the challenges of extracting value from large amounts of complex multi-variate data. This also involved working as a Project Manager and Business Analyst, during which he developed a keen understanding of the business drivers, constraints, and motivations that surround analytical projects. Now, Mark works across all of Tessella’s key sectors – Life Sciences, Energy, Government Space & Defense and Consumer Goods, helping customers to make better decisions using data.

The challenge of making analytics a scalable capability

Of late, I’ve seen two interesting perspectives on the scalability of analytics. The first was a talk by Colin Shearer of IBM/SPSS at an OR Society Analytics Conference and the second was an essay by Andrew Brust. Both shared a similar common thread – If analytics is to succeed long-term, it needs to find a way […]

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