Foresight Editor-in-Chief Len Tashman's Preview of the Fall 2019 Issue This 55th issue of Foresight opens with an article from Phillip Yelland, Zeynep Erkin Baz, and David Serafini of the Data Science/AI team at Target: Forecasting at Scale: The Architecture of a Modern Retail Forecasting System. The challenge of scale
Many people are often confused on how to file for separation in North Carolina. Every state has different laws related to separation. This article is intended to make the process of legal separation easier to understand for NC residents. A couple becomes legally separated on the date that a husband and wife move into separate residences
At the #AISummit early this summer, I was interested to see that one of the most popular demos on the SAS stand was of object detection. A camera was detecting the nature of an object waved in front of it and tracking it moving through the livestream. This was a
For the past six years, Marcy Bullock has served as the Director of Professional Development at NC State University’s Career Development Center. She is an expert on career readiness and designs dynamic programs that give students an edge in the competitive job market including a program for undergraduates called Pack
Fraud detection is a wide field. Every organisation experiences the implementation differently.
We've had record high 90+ degree temperatures here in the southeast US this past week (September / October), and it has made me appreciate having an air conditioner. Indeed, air conditioners were pretty much invented here in North Carolina (see Eric Cramer). They are used in pretty much every building
Nowadays, geeks are increasingly cool, and we’re all proud to let our inner geek out in public. This wasn't always so ...
The final phase in analytical model deployment is the perfect unsolved mystery. Why are 50% of analytics models never deployed? And why does it take three months or more to complete 90% of deployed models? What happened or didn’t happen to allow analytical insights to reach their potential? It’s a
I frequently see questions on SAS discussion forums about how to compute the geometric mean and related quantities in SAS. Unfortunately, the answers to these questions are sometimes confusing or even wrong. In addition, some published papers and web sites that claim to show how to calculate the geometric mean
Surprise! The data team does more than you think to implement certain legislative actions.
I get it. You are between a rock and a hard place. On one hand, you want to allow space to let your emerging adult take the reins and handle the college application process. On the other hand, you quake in your boots thinking about the [remote] possibility that your high
Did you know the first SAS® Users Group event took place before SAS was incorporated as a company? In 1976, hundreds of early SAS users gathered in sunny Kissimmee, FL to share tips and offer feedback before SAS was even officially a company. Our users have continued to influence the
Customer Experience Day (aka #CXDay2019) is one of our favorite days of the year—when we can reflect on customer interactions, questions and feedback from the past year—and look to the year ahead for ways to enhance our customers’ experience, like expanding our support options and helping drive improvements to our website and self-service offerings.
New payment methods will deliver huge improvements in speed of transaction, but also provide challenges.
You may have heard the saying that to achieve success, it’s necessary to become comfortable with being uncomfortable. Stepping outside your comfort zone can be challenging, but our own Andrea Horn, Manager of Supplier Diversity, takes that saying to heart when it comes to growing her career! I sat down
Industrial leaders need an #IoT #analytics platform and a strategy that generates intelligence in lockstep with business needs.
There are several different kinds of means. They all try to find an average value from among a set of numbers. Although the most popular mean is the arithmetic mean, the geometric mean can be useful for problems in statistics, finance, and biology. A common application of the geometric mean
This article continues a series that began with Machine learning with SASPy: Exploring and preparing your data (part 1). Part 1 showed you how to explore data using SASPy with Python. Here, in part 2, you will learn how to begin to prepare your data to use it within a
In part 1 of this post, we looked at setting up Spark jobs from Cloud Analytics Services (CAS) to load and save data to and from Hadoop. Now we are moving on to the next step in the analytic cycle, scoring data in Hadoop and executing SAS code as a
Interview with Line Lyst about how to ensure innovation at Ramboll while taking care of business as usual.
Lately we've been hearing a lot about "record low unemployment" in the news. Being a data guy, I wanted to see it for myself. Follow along as I create some custom unemployment graphs from the official data for California and New York (two of our most populous states). Or, if
Importing about 4,400 messages worth of data into SAS Visual Text Analytics to exploring it and create an information extraction model.
Most people buy carrots, beets, turnips and radishes to eat the roots of these vegetables, but they often come with the tops still attached. Loaded with B vitamins, vitamin K, potassium and fiber, it is a shame to throw the greens in the trash. So, what should you do with
One of the strengths of the SAS/IML language is its flexibility. Recently, a SAS programmer asked how to generalize a program in a previous article. The original program solved one optimization problem. The reader said that she wants to solve this type of problem 300 times, each time using a
I’m Tahseen (better known as Tazz around the SAS Africa offices) and I am a recent intern-turned-permanent SAS employee in the Customer Advisory Academy! My interest in the field of analytics coupled with the attractive internship opportunity brought me to SAS, and I’m so glad it did! The internship was
This series of videos spotlights a very powerful API that lets you use Python while also having access to the power of SAS Deep Learning.
"Take care of yourself!" Sound like something you hear often? This instruction may conjure up fixed ideals of what "taking care" means: getting to the gym, making smoothies, meditating, or getting more sleep. But gym memberships aren’t for everyone, not everyone has a blender, and we may not be able
"Senior managers adore their dashboards. Are they really capable of understanding what they indicate? I have my doubts!"
"Artificial intelligence? Creates jobs? I admit it is far more usual to hear apocalyptic predictions that AI will destroy jobs. Is that true?"