SAS Voices
News and views from the people who make SAS a great place to work![How generative AI creates cross-channel harmony in pharmaceutical marketing](https://blogs.sas.com/content/sascom/files/2024/04/1413600685-702x336.jpg)
The days of one-size-fits-all messaging in the pharmaceutical industry are fading. Today's patients and health care providers (HCPs) expect personalized content across a variety of channels. This is where generative AI (GenAI) can really help execute cross-channel marketing. Reaching the right audience with the right message Imagine a world where
![How to become more operationally efficient with decision trees and large language models](https://blogs.sas.com/content/sascom/files/2024/04/1455490138-702x336.jpg)
The ability of an organization to make informed decisions swiftly and accurately is crucial. Organizations across various industries rely heavily on advanced technologies to navigate complex data and enhance customer experiences. Decision trees and large language models (LLMs) are two technologies that play pivotal roles in empowering organizations to make
![Synthesizing data – Putting the ‘generate’ in generative AI for life sciences](https://blogs.sas.com/content/sascom/files/2024/04/1309608690-702x336.jpg)
Synthesizing data? Who does that? Aren’t we supposed to be running the experiments and measuring things to produce real data? While generally true, there are scenarios in which the use of generative AI (GenAI) is beneficial. Let’s explore the benefits via “what if” scenarios. Before we begin, it’s important to
![Can insurers use AI to earn trust while preparing for the future?](https://blogs.sas.com/content/sascom/files/2024/04/1221303443-702x336.jpg)
There's a lot to gain for insurers that move fast enough to adopt promising applications of trustworthy AI.
![Streamlining government regulatory responses with natural language processing, GenAI and text analytics](https://blogs.sas.com/content/sascom/files/2024/04/513289440-702x336.jpg)
Imagine if your job was to sort a massive pile of 40,000 stones into about 200 buckets based on their unique properties. Each stone needs to be carefully examined, categorized and placed in the correct bucket, which takes about five minutes per stone. Fortunately, you’re not alone but part of
![Peer review sites praise SAS® Viya® as a top AI product](https://blogs.sas.com/content/sascom/files/2024/04/1277730764-702x336.jpg)
Customers are buzzing with stories of how SAS Viya has transformed how people work with AI, data and analytics. But where are these stories coming from? Users across various industries have shared their experiences, highlighting the impact SAS Viya has had on their productivity, decision making and overall work experience.