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What do two health systems, 4000 miles apart (6600 kilometers) have in common in their COVID-19 response? Despite different policy responses to the pandemic, they are more alike than you might think. Brought together by SAS and the FutureNHS COVID-19 analytics huddle, these two health systems recently shared their experience
Procurement fraud is, to put it simply, huge. An estimate by PwC a few years ago suggested that it was one of the most common economic crimes around the world. That estimate has not changed. What’s more, few companies have taken steps to address the problem. “Procurement fraud is notoriously
This article introduces the iml action, which is available in SAS Viya 3.5. The iml action supports most of the same syntax and functionality as the SAS/IML matrix language, which is implemented in PROC IML. With minimal changes, most programs that run in PROC IML also run in the iml
June is PRIDE month. Even before I joined the leadership team for the SAS PRIDE Employee Inclusion Group, I always used my Work/Life blog in June to write about LGBTQ youth and how we can support them. This year I struggle to find words that are adequate to educate,
Learn the nuts and bolts of how to measure data quality from expert Jim Harris.
Technikfolgenabschätzung und Ethik von KI ist Kerngeschäft von Prof. Michael Decker vom KIT. Wir sprachen mit einem Visionär.
Critics of sports analytics (and there are some entertaining ones) love to point out that analytics isn’t capable of capturing the things that don’t show up on a box score. A player who dives on the floor to save a loose ball, a quarterback strategically misleading a defender to free
A SAS customer asked how to specify interaction effects between a classification variable and a spline effect in a SAS regression procedure. There are at least two ways to do this. If the SAS procedure supports the EFFECT statement, you can build the interaction term in the MODEL statement. For
In the second of a three-part series of posts, SAS' Funda Gunes and her colleague Ricky Tharrington summarize model-agnostic model interpretability in SAS Viya.
El año pasado hablábamos de las descomunales capacidades de cómputo y de cómo las organizaciones y los gobiernos podían transformar todos estos datos en mayor inteligencia de negocios. Este año, el mundo ha cambiado para todos y la analítica avanzada; la toma de decisiones basada en la proyección de escenarios;
La pandemia originada por el COVID-19 ha puesto de manifiesto, entre otras muchas cosas, el reto que supone para los sistemas de salud hacer frente a una emergencia sanitaria de gran alcance. Garantizar la disponibilidad de camas hospitalarias, ventiladores o incluso de profesionales sanitarios para atender las necesidades de miles
Intelligent decisioning can help telcos survive the retail shutdown by accelerating the shift to digital channels
AI has huge potential to help us understand and manage our world, and especially to get value from the enormous amount of data that we now generate.
A monotonic relationship exists when a model’s output increases or stays constant in step with an increase in your model’s inputs. Relationships can be monotonically increasing or decreasing with the distinction based on which direction the input and output travel. A common example is in credit risk where you would expect someone’s risk score to increase with the amount of debt they have relative to their income.
Learning never stops. When SAS had to change this year’s SAS Global Forum (SASGF) to a virtual event, everyone was disappointed. I am, however, super excited about all of the papers and stream of video releases over the last month (and I encourage you to register for the upcoming live