Also celebrating is your bank's branch manager. She was skeptical when headquarters analysts equipped branches for "Cloud-based application using SAS" , saying it would speed up loan applications. But your quick, frictionless transaction proved them right.The bank's accountants are happy too. The new pay-as-you-go mode of using SAS software in
Have you ever wondered what exactly is diabetes? Does it affect me or my loved ones? What’s the big deal anyways? Can’t I just ignore it and go on with my life? For Diabetes Alert Day, we’re going to (hopefully!) convince you why it is important to know if you
“We are at the cusp of one of the most exciting times in our lives and, if we get our strategy for AI right, then the UK will be able to reap the rewards for our economy for decades to come.” Greg Clark - Secretary of State for Business, Energy
The broad CCPA definition of personal information could open a can of worms for compliance and governance.
During the year 2020, many countries and areas will be conducting their decennial census, and making projections to estimate what their population will be in the future. Therefore I decided to dust off one of my old SAS/Graph samples based on the 2010 census, and rewrite it using more modern
UK government departments and the wider public sector are under huge pressure to improve service delivery and efficiency. We also know that investments in data analytics and data science play a key role in transforming services to help citizens. So what are the key challenges preventing more widespread adoption of
An important concept in multivariate statistical analysis is the Mahalanobis distance. The Mahalanobis distance provides a way to measure how far away an observation is from the center of a sample while accounting for correlations in the data. The Mahalanobis distance is a good way to detect outliers in multivariate
These days, an ever-increasing number of customer interactions are taking place over digital channels and every single digital interaction offers an incredible source of customer intelligence for organisations to tap into. With every visit, customers leave a valuable trail of digital breadcrumbs. These breadcrumbs give organisations the ability to follow
Deloitte’s 2019 Banking and Capital Markets Outlook begins by stating that “a decade after the crisis, the banking industry is on firmer ground.” Shortly after it asserts that “there may be no better time than now to reimagine transformation.” Having tinkered at the margins to keep the lights on, banks
In my previous post, “Why personalising the student experience is critical to higher education’s viability," we examined the role customer intelligence can play in driving value for universities and students across the higher education journey. Specifically, analytics has a vital role to play in helping decision makers, particularly marketers, to
One of the best and most effective ways parents can help their children be less perfectionistic is to be less perfectionistic themselves. …The parents that can speak openly about their disappointments and short-comings in a non-defensive and problem-solving focused manner provide great modeling for their children. It’s also important that
Computer vision is one of the most sought-after artificial intelligence (AI) applications today, finding a wide variety of use cases in image recognition, object detection, biomedical assessment, and more. SAS supports a diverse set of AI and deep learning capabilities that can be used in many of these applications. One
Artificial intelligence and machine learning are words that evoke a sense of inhumanity, of cold and mechanical functions. In reality, AI is coming closer and closer to reaching human understanding through capabilities like deep learning and natural language processing (NLP). With early chatbots, you had to ask exactly the right
My favorite tech influencers teach, ask questions and share their knowledge freely. They value quality over quantity, and they engage with each other authentically. My goals on social media are to learn, engage with the world socially, and to share what I think is cool – sometimes this is about
SAS Decision Manager enables you to build and test decisions to use in batch processes, real-time web applications or with SAS Event Stream Processing. In this blog, I explain how to use Rulesets in an Event Stream Process project. If you are streaming data using SAS Event Stream Processing and
Flooding has been in the news the past few days, and that makes me want to analyze some data! I hang out at Jordan Lake (here in central North Carolina) a lot, so I decided to download the data for that lake, and do a graphical analysis. If you're interested
An analyst was using SAS to analyze some data from an experiment. He noticed that the response variable is always positive (such as volume, size, or weight), but his statistical model predicts some negative responses. He posted the data and asked if it is possible to modify the graph so
We are in the midst of our third Powerful Tools of Caregiver class offering, and I am reminded again of the importance of self care for caregivers. As primary caregivers, it is likely you will experience higher degrees of stress, exhaustion, and are more prone to illness. It is important
Artificial intelligence (AI) offers many opportunities for innovation. It already allows us to improve traffic flows, safely manage large crowds of people at events, analyze automated MRI scans for particular diseases and disorders, and check the effectiveness of treatment. However, new privacy legislation – such as the European General Data
Artificial intelligence (AI) is a natural evolution of analytics. Over the years, we have seen AI add learning and automation capabilities to the predictive and prescriptive jobs of analytics. We have been building AI systems for decades, but a few things have changed to make today’s AI systems more powerful.
Here in the US, there's a lot of talk about the flu each year. First, people discuss whether or not to get the flu shot. Then there are discussions about whether or not you or your friends have the flu (or something else). Then the discussions about what strain of
In my first post, I discussed how analytics should play a major role in modern policing to help forces plan for the future and meet the requirements of the Force Management Statement. In my second post, I went on to discuss the importance of police data and data preparation to
Statisticians often emphasize the dangers of extrapolating from a univariate regression model. A common exercise in introductory statistics is to ask students to compute a model of population growth and predict the population far in the future. The students learn that extrapolating from a model can result in a nonsensical
What did you expect going into the Teacher Institute? How was your experience the same/different from your expectations? Going into the Teacher Institute I expected to be in way over my head! I thought there was no way I could rise to the bar and wasn’t sure just why I
SAS makes it easy for you to create a large amount of procedure output with very few statements. However, when you create a large amount of procedure output with the Output Delivery System (ODS), your SAS session might stop responding or run slowly. In some cases, SAS generates a “Not
As you celebrate Women’s History Month, consider the prescient advice Abigail Adams gave to her husband John. If he had listened it could have saved us all that time and effort trying to get the 19th Amendment passed. “I long to hear that you have declared an independency—and by the
This is the fifth and final post in my series of posts about the deep learning model I developed to detect tumors in 3D CT scans of livers. My last post talked about visualizing the results of the computer vision project. This post will cover model accuracy and the final
US farmers grow a lot of food ... but did you know some of them also grow fuel for our vehicles? Follow along and you'll learn how much fuel they grow, and also learn some tips about plotting this type of data! These days most gasoline in the US has
When I talk about perfectionism, I like to contrast it with what we call healthy striving. Healthy striving has to do with working hard and reaching for lofty goals. Healthy strivers set goals that maximize their potential; they work hard, and they are often very high achieving. …Perfectionists, on the
In my previous blog post, I introduced the “four pillars of trust” for automated decisions. The key takeaway was that explainability and transparency refer to the entire analytical process. But what about the “black box” of machine learning algorithms? Here, too, the analytical platform must guarantee transparency. The good news
