The SAS Data Science Blog

Machine Learning

Katie TedrowNovember 18, 2020 1

Enhancing your Natural Language Processing: Intro to Conversational AI

Conversational AI can offer a way to provide that always-on 24/7, fast, convenient experience that can go anywhere (phone, computer smart speakers, even your car). It can provide a human-like experience through real-time, personalized interaction with AI running in the background. This technology is being applied across many industries for a variety of use cases (both customer-facing and for internal use).

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Advanced Analytics

Susan KahlerOctober 26, 2020 1

Why data scientists should be looking at analyst evaluations

An analyst report offers an unbiased, side-by-side, third-party evaluation of the technology in the market. These analysts know how to put the vendors through the paces and require proof of any claims that are made.

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Advanced Analytics | Artificial Intelligence | Machine Learning

Udo SglavoOctober 22, 2020 0

Your recipe for unlimited capacity starts in the cloud

The first principle of analytics is about bringing the right analytics technology to the right place at the right time. Whether your data are on-premises, in the cloud, or at the edges of the network – analytics needs to be there with it. Being true to this principle means we

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Artificial Intelligence | Machine Learning

Veronique Van VlasselaerOctober 21, 2020 0

How to make sure AI and ML models survive and thrive

SAS' Véronique Van Vlasselaer reveals why managing model performance is as important as putting them into production.

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Machine Learning

Katie TedrowOctober 20, 2020 0

Discovery techniques for enhancing your natural language processing

Discovery is an important part of setting up your analysis for success – essentially it prevents you from plunging into a haystack to try to find that elusive needle, and rather, helps you organize the haystack into neater, compact organized bales that you can navigate with ease. Proper discovery can help you more efficiently find patterns in your data set.

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Advanced Analytics | Artificial Intelligence | Machine Learning

Wayne ThompsonOctober 19, 2020 0

6 questions about the future of AI 

What does the AI enterprise of the future look like? That’s a tough question that I’ve been asked to consider, along with a distinguished panel at Valley ML AI Expo 2020.  The title of the panel is, “Life, the Universe and the AI Enterprise of the Future.” Based on an initial chat with panel chair Gautam Khera, I’ve written up some possible topics we’ll be covering on the panel. Consider

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Advanced Analytics

Udo SglavoOctober 16, 2020 0

Statistical breakthroughs: strolling down memory lane with Randy Tobias

“Technology is an industry that eats its young, it is rare to come across providers that have been around for more than a human generation.” Tony Bear, Big on Data With more than 40 years in the market, SAS is one of the rare technology providers that has been around

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Advanced Analytics | Programming Tips

Yi Jian ChingOctober 6, 2020 0

Open Source Model Management through REST APIs: Registration

The model management process, which is part of ModelOps, consists of registration, deployment, monitoring and retraining. This post is part of a series examining the model management process, orchestrated through the Model Manager (MM) APIs. The focus of part one is on model registration, specifically on using the APIs from

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Advanced Analytics

Clay ThompsonOctober 1, 2020 1

Can real-world evidence help identify treatments for COVID-19?

A note from Udo Sglavo: The need for randomization in experimental design was introduced by the statistician R. A. Fisher in 1925, in his book Statistical Methods for Research Workers. You would assume that developing a successful treatment for COVID-19, the illness caused by the SARS-CoV-2 virus, will eventually conclude in

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Advanced Analytics | Machine Learning

Sophia RowlandSeptember 25, 2020 0

Operationalizing Consumer Complaint Monitoring

The Text Investigation Framework is a flexible solution for addressing text challenges across several domains. It was designed to create a process for turning unstructured text data into a decisioning system.

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