It's been a great ride

Since 2014, the Operations Research Blog has covered a broad range of topics related to real applications of operations research.  Paraphrasing Principal Product Manager for Optimization Ed Hughes' first post - this blog covered how OR methods could be applied to organizational and business planning problems as well as our individual lives. It demonstrated how other SAS analytical products, business intelligence, and reporting capabilities interact with and enhance operations research techniques.  Topics covered everything from computing an optimal blackjack strategy with SAS/OR to improving hidden Markov models with black-box optimization.

Life moves on and so are we

The term data science isn’t new, but it's gotten more and more press over the last several years. As developing methods to handle big data became more important, so did the prominence of data science. Data science encompasses mathematicians, statisticians, computer scientists, and many other related fields. The SAS Data Science Blog evolved from discussing trends that drove innovation and challenges that expanded the boundaries of what we thought was possible to one that features the perspectives of SAS data scientists as they share the technical methods used to solve many of the challenging problems facing organizations today.

While data scientists typically are concerned with machine learning techniques such as supervised and unsupervised learning, many realized that broadening their horizon helps them address business challenges as well. We believe that an advanced analytics ecosystem must feature optimization capabilities at SAS, or it is not complete. In particular, in times of COVID-19 and its specific challenges, it has become clear that optimization techniques are fundamental for data scientists.

Come visit our new home

You will still be able to access all our previous posts. Look for new operations research posts and the different ways optimization can be used with SAS Viya at our new home. We hope you will join us on the SAS Data Science blog site to discover how operations research will move forward helping data scientists in the future.

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About Author

Udo Sglavo

Vice President of Advanced Analytics

As Vice President of Analytics R&D at SAS, I have the privilege of leading a team of highly skilled individuals responsible for building and testing the SAS analytical ecosystem. My passion is to shape the vision and direct the implementation of analytical techniques in our software. I received my diploma in mathematics from the University of Applied Sciences, Darmstadt, Germany. Furthermore, I'm a proud holder of several patents in the area of advanced analytics. It is my great pleasure to serve on the analytics advisory board of Oklahoma State University. Together with Mike Gilliland and Len Tashman, I helped to edit the original volume of Business Forecasting: Practical Problems and Solutions.

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