In my previous article, “The Vital Ingredients of Responsible AI,” I described the principles that underpin the need to develop AI systems that factor in the human factor, not only contribute to business outcomes but also protect individuals, society and the environment. While it’s difficult to argue with those principles,
Think about what a modern implementation of SAS looks like for a customer. Programmers rely on robust environments to run the models and programs that answer business questions. These environments can be different for platforms like SAS® 9 and SAS® Viya®. They can be deployed across distributed servers, either on
A SAS programmer asked whether it is possible to add reference lines to the categorical axis of a bar chart. The answer is yes. You can use the VBAR statement, but I prefer to use the VBARBASIC (or VBARPARM) statement, which enables you to overlay a wide variety of graphs
In my previous article, “The Business Imperative for Responsible AI," I covered the main business drivers for responsible AI. Beyond the greater good and social responsibility, responsible AI is emerging as a key factor for successful AI adoption. In this article, I will describe the main ingredients of responsible AI:
“What’s our plan if we get hit by a big flood?” While this question may be plenty familiar to emergency management professionals, city administrators, legislators, and other leaders in coastal regions that are known for their exposure to potentially disastrous weather events, these days it’s being asked in some unexpected
Industries including sports and entertainment, travel, manufacturing, education and government benefit from analytical insights In the United States and other parts of the world, there are signs. Record automobile traffic. Surging demand for workers. And a continued push to vaccinate. The pandemic and its effects are still very much with
There are times when it is useful to simulate data. One of the reasons I use simulated data sets is to demonstrate statistical techniques such as multiple or logistic regression. By using SAS random functions and some DATA step logic, you can create variables that follow certain distributions or are
Some businesses overlook alternative data. That's probably a mistake.
In her book, Love More, Fight Less: A relationship workbook for couples, Certified relationship coach and author, Dr. Gina Senarighi recommends couples institute a weekly meeting: "Couples meet once a week to discuss schedules, finances, and shared resources as well as responsibilities and tasks. …Having regular check-ins helps keep any
A previous article discusses how to use SAS regression procedures to fit a two-parameter Weibull distribution in SAS. The article shows how to convert the regression output into the more familiar scale and shape parameters for the Weibull probability distribution, which are fit by using PROC UNIVARIATE. Although PROC UNIVARIATE
SAS Analytics Pro consists of three core elements of the SAS system: Base SAS®, SAS/GRAPH® and SAS/STAT®. The containerized deployment option adds the full selection of SAS/ACCESS engines making it even easier to work with data from virtually any source.
It has been my great pleasure writing this blog for the past 12 years, with over 370 posts. In doing so, I have enjoyed the support of my exceptional SAS managers over this time: From Anne Milley and Renee Nocker way back when it started, to Susan Kahler and David
With the 2020 Census numbers starting to come out, it's interesting to look at what states are gaining (or losing) people. In this example, I create a custom map similar to the ones the US Census Bureau likes to use, and plot the 10-year change in population. But before we
I've never been much of a fan of forecasting approaches to intermittent demand. In situations like intermittent demand (or other areas where we have little hope of reasonably accurate forecasts), my thinking is "why bother?" If we can't expect to solve the problem with forecasting, we need a different approach.
From articles I've read on the web, it is clear that data is gold in the twenty-first century. Loading, enriching, manipulating and analyzing data is something in which SAS excels. Based on questions from colleagues and customers, it is clear end-users are willing to display data handled by SAS outside
The convergence of digitalization, AI and machine learning that has been integrated into wearable devices has become a boon for many industries, particularly health care. When Fitbit launched its first wearable device in 2009, it clipped on a user’s clothing and utilized an internal motion detector to track the wearer’s
Halloween, and the copious amounts of candy that comes with it, marks the beginning of a continuous stream of tempting foods from October to January. For the 9th year, the SAS Healthcare Center will be gathering excess Halloween candy to donate to NC Packs 4 Patriots, an organization that supports
It can be frustrating when the same probability distribution has two different parameterizations, but such is the life of a statistical programmer. I previously wrote an article about the gamma distribution, which has two common parameterizations: one that uses a scale parameter (β) and another that uses a rate parameter
SAS' Rajesh Selukar introduces you to a new scoring feature.
If my experience is anything to go by, there’s a sizeable number of customers that still have SAS workloads running on IBM mainframes. Now I have tremendous respect for S/390 (I can still navigate TSO/ISPF et al. and started my IT career programming in PL/AS on MVS and VM), but
With the steep rise of artificial intelligence (AI) adoption across all facets of society, ethics is proving to be the new frontier of technology. Public awareness, press scrutiny and upcoming regulations are forcing organizations and the data science community to consider the ethical implications of using AI. The need for
This blog post is mostly just a bunch of fun maps ... maps that are labeled (or mislabeled) in various ways, using fun/interesting data. I focus on the 'fun' part, but if you're not careful you might also learn a little about the various ways to add labels to maps
Rijkswaterstaat (RWS) is the Netherlands main agency for design, construction, management and maintenance for waterways and infrastructure. Their mission is to promote safety, mobility and quality of life in the Netherlands. They are the masterminds behind some of the most prestigious water projects in the world. In a recent panel
Following is editor Len Tashman's preview of the 2021-Q4 issue of Foresight: The International Journal of Applied Forecasting. Preview of Foresight #63 (2021-Q4) FORESIGHT HALL OF FAME Adopting the idea from other journals that recognize outstanding contributions to the field through best paper awards, we are pleased to announce that
Have you ever submitted a stored process, and instead of the expected output, you saw errors or no output at all? Depending on how you submit the stored process, various logs are available to assist you with debugging. This article provides guidance for understanding which situations call for which logs, where to find each log, and what you should look for in each log.
These days, many countries are moving away from coal, and towards natural gas, hydro, wind, and solar as ways to meet their electricity needs. I had heard that some countries still use a lot of coal (especially those countries with large coal deposits), and I was curious which countries use
I'm not sure when it started, but I've had this lifelong situation that began small, I'm sure, and then grew! While I've encouraged it to become a friend, some days it is not. You may ask who or what this friend is. It's a little thing called perfectionism. It can
A genetic algorithm (GA) is a heuristic optimization technique. The method tries to mimic natural selection and evolution by starting with a population of random candidates. Candidates are evaluated for "fitness" by plugging them into the objective function. The characteristics of the better candidates are combined to create a new
In this Q&A with MIT/SMR Connections, Iain Brown, SAS’s head of data science for the United Kingdom and Ireland, discusses some key risks, ethical issues, and platform questions that organizations should consider before adopting AI and takes a quick look at current and emerging AI trends. Q: In your view,
Every year, the SAS Championship brings a week of sports, leadership and literacy activities to the Raleigh area. Take a minute to enjoy this photo album from the week, and visit the SAS Championship online or on Twitter to learn more about the tournament, the winners and the fundraisers.
