As businesses grapple with big data and artificial intelligence they are faced with two languages that don’t always speak the same dialect – the technical jargon of data science versus their own goal-oriented vernacular. Enter Dean Abbott – owner of Abbott Analytics – an industry stalwart who has spent over three decades mastering communication between these two worlds.
Through his company’s unique focus on translation processes, Dean ensures that business objectives align with data science capabilities making Abbott Analytics stand out amidst a crowded market for analytics services. His journey as a pioneer began back in 1986 when he started applying machine learning techniques to analyze large swathes of complex information.
Having built on this early experience over time by co founding SmarterHQ and authoring several academic papers on machine learning theory it’s no wonder he iss considered one of the best translators operating within today’s booming tech industry. Dean has rejoined the consulting world after spending eight years at SmarterHQ.
His primary objective is to enhance his visibility within the analytics community so that he can cater to Fortune 500 firms in the future. Given his extensive experience, Dean offers valuable advice on applying analytics effectively, emphasizing that business stakeholders must be included in project definition alongside data scientists and infrastructure personnel.
He also stresses that using business success metrics is crucial when assessing machine learning models while underscoring regular communication between data science teams and businesses.
At present, Dean holds several prestigious titles such as Bodily Bicentennial Professor in Analytics at the University of Virginia Darden School of Business due to his significant contributions globally as an applied machine learning specialist. Furthermore, Dean’s impact extends beyond Abbott Analytics where he works.
Dean Abbott is a leading expert in data science whose insights have been shared globally through numerous interviews across various mediums bootcamp style courses for professionals and speaking engagements at global events. In addition to these activities he has authored “Applied Predictive Analytics” (Wiley, 2014 2nd Edition forthcoming) and co-authored “The IBM SPSS Modeler Cookbook” (Packt Publishing, 2013) further demonstrating his commitment to practical applications of data science.
Learn more about his pioneering work by visiting http://www.abbottanalytics.com/ or following him on Twitter @deanabb and LinkedIn https://www.linkedin.com/in/deanabbott/.