SAS Voices

Advanced Analytics | Analytics | Cloud | Machine Learning

Charlie ChaseSeptember 8, 2021 0

Has your company considered a managed application service for demand planning?

The need for agile, accurate demand planning has never been greater. When considering migrating your demand management application to a cloud-native solution, you might experience platform management challenges ranging from lacking the resources needed to oversee application operations, to manipulating maintenance tasks that may distract from growing the business. Why

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Manufacturing | Retail

Analytics

Caslee SimsSeptember 1, 2021 0

A deep dive into COVID-19 vaccine efficacy and the future of the pandemic

This virus is very scary and it changes constantly. So when you let a virus like that infect millions and millions of people, it's going to make all of those mistakes in copying itself over and over again. - Meghan Schaeffer, Epidemiologist, SAS Meghan Schaeffer, EdD, MPH, MPA, is a

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Health Care

Analytics

Caslee SimsAugust 24, 2021 0

Visualizing COVID-19 vaccine data using SAS® Viya®

Curious about how the COVID-19 vaccine has impacted the world around you? This SAS Viya powered data visualization shows information related to the COVID-19 vaccination efforts in the United States. Here's what you can learn from this dashboard. Percentage of vaccinated Americans In August 2021, the CDC reported that over 50% of

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Health Care

Analytics | Artificial Intelligence

Caslee SimsAugust 20, 2021 0

Overcoming AI bias to empower an equitable society

Reasoning frameworks of artificial intelligence used in criminal justice and health care systems move us to rethink how AI can be constructed to help foster an equitable society. We interact daily with algorithms that over time predict and inform our actions. Spam filters in e-mail and real-time mapping technologies on

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Analytics | Students & Educators

Jelena StankovicAugust 19, 2021 0

My journey from intern to SAS Ambassador

This post is part of our Young Data Scientists series, featuring the motivation, work and advice of the next generation of data scientists. Be sure to check back for future posts, or read the whole series by clicking on the image to the right. Nikita Borzunov graduated from MIREA -

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Advanced Analytics | Data Management | Machine Learning

Olivia OjedaAugust 18, 2021 0

Enhancing sports through analytics

When people think about sports, many things may come to mind: Screaming fans, the intensity of the game and maybe even the food. Data doesn’t usually make the list. But what people may not realize is that data is behind everything people love about sports. It can help determine how

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Sports & Entertainment

Analytics | Data for Good | Learn SAS

Alex CoopAugust 17, 2021 0

Canadian nonprofit meets employer demands with SAS training

Fueled by a number of factors, including a global pandemic, data analytics skills are in high-demand. Organizations like the Youth Employment Services (YES) are well aware of the abundance of data and its growing complexity. That's why they partnered with SAS last year to provide free learning pathways to help

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Education

Data for Good | Students & Educators

Lee Ellen HarmerAugust 17, 2021 0

Sharing data literacy in the classroom and around the world

When our knowledge was contained in books, learning to read was vital to understanding the world. Today, new information is increasingly generated and communicated in numbers, charts and graphs. That’s why data literacy is emerging as an essential skill for everyone who wants to understand our data-rich world and make

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Education

Analytics | Data Management | Machine Learning

Cindy TurnerAugust 16, 2021 0

6 machine learning pitfalls to avoid

Data science expert Andy Pulkstenis describes how to skip common machine learning mistakes.

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Insurance

Charlie ChaseAugust 12, 2021 0

Is your demand management process stuck in the 1990s?

Demand management concepts are now over 30 years old. The first use of the term "demand management" surfaced in the commercial sector in the late 1980s and early 1990s. Before that, the focus was on a more siloed approach to demand forecasting and planning that was manual and used simple

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AgTech | Manufacturing | Retail

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