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Machine Learning
Katie Tedrow 0
The hybrid approach to enhancing your natural language processing

Unlocking the potential of your unstructured text data can lead to great business outcomes but the prospect of starting a new or enhancing your existing Natural Language Processing (NLP) program can feel overwhelming because of the inherently unique (and sometimes messy) nature of human language. Text data doesn’t fit neatly into rows or columns the way that structured data does, which can make it seem more complex to work with. Conversations and written language range from objective statements to subjective perspectives and opinions. The same sentence, depending on its intent and the nuances in how it's said, can have a positive, negative, or neutral sentiment. To get us started, we'll share different types of NLP models used to analyze unstructured data with a focus on the hybrid approach.

Analytics
Mark Lambrecht 0
The future of health care and life sciences with SAS Analytics on Azure 

Heather Cartwright, General Manager of Microsoft Health, joined me to contemplate the new horizons in healthcare made possible by SAS and Microsoft’s new strategic partnership.  The four walls of the doctor’s office are disappearing. Following decades of planning for hypotheticals, this year health care organizations were compelled to make good on the promise of digital transformation. Meeting the

Advanced Analytics | Analytics | Artificial Intelligence | Customer Intelligence | Data Management | Data Visualization | Machine Learning
Suneel Grover 0
SAS Customer Intelligence 360: Behavioral event tracking, targeting & engagement analysis

There's no question that we're all increasingly, and often exclusively, interacting with brands digitally. Consumers are now online through countless mechanisms – from laptops and mobile apps to AI-enabled voice assistants and sensor-based wearables. Engagement is diversifying in fascinating new ways. And when organizations can't see their customers interacting in

Work & Life at SAS
Alyssa Grube 0
People Behind the Models: Matthew Galati

By now, you’ve heard about our work helping customers combat the coronavirus pandemic. As COVID-19 numbers rose rapidly and cities around the world shut down; SAS ramped up, and the unlimited talent and brilliance of our people shone brightly. From our Viya-powered COVID-19 dashboard to deployment-ready models, our teams moved quickly to be there for our

Programming Tips
Jody Carlton 0
Using locale-specific format catalogs to create reports in multiple languages

This blog post, inspired by my work on this topic with a SAS customer, focuses on how to create and use locale-specific informats to read in numeric values from a Microsoft Excel file and then transform them into SAS character values. I incorporated this step into a macro that transforms ones and zeroes from the Excel file into meaningful information for multilingual readers.

Programming Tips
Aubrey Barfield 0
All hail the SAS programmer!

SAS offering free learning resources in celebration of programmers For more than 40 years, SAS programmers have crafted software and solutions that transform the world. From statistics to data science, to analytics and artificial intelligence, people writing code have architected a new economy with incredible opportunities. SAS Programmer Week honors

Advanced Analytics | Analytics | Artificial Intelligence | Customer Intelligence | Data Management | Machine Learning
Suneel Grover 0
SAS Customer Intelligence 360: Identity management, profiling and unified data model for hybrid marketing

Customer data platforms (CDPs), data management platforms (DMPs), people-based marketing, identity graphs, and more overlapping topics represent an important ingredient of any martech brainstorming session in 2020. As your brand spreads out across touchpoints — from web to mobile applications, as well as call centers, email and direct mail —

Analytics | Fraud & Security Intelligence | Risk Management
Ilkay Aydogdu 0
Three digital transformation challenge areas ahead for insurance providers in Turkey

Since the start of the COVID-19 pandemic, SAS has formed dedicated global teams to predict and monitor the pandemic’s course and identify the likely impact for customers. In Turkey, we have identified three main risk areas for insurers and have set out some strategies to help our clients respond, recover

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