The SAS Data Science Blog
Advanced analytics from SAS data scientists![GPT-4o for Image Analysis](https://blogs.sas.com/content/subconsciousmusings/files/2024/07/jonny-702x336.jpg)
Where GPT-4o is concerned for computer vision, SAS' Jonny McElhinney, Julia Florou-Moreno, and Priti Upadhyay advocate a trust-but-verify approach.
![The Ultimate Must-Have for MLOps: SAS Viya](https://blogs.sas.com/content/subconsciousmusings/files/2024/07/Picture1.jpg)
A recent article came out with an updated list of necessary components for MLOps and LLMOps. And while this list may seem long, reading through the capabilities and components, I realized that SAS Viya already covers most of the required functionality. Organizations can have a hodgepodge of tools that they
![Natural language processing techniques that improve data quality with LLMs](https://blogs.sas.com/content/subconsciousmusings/files/2024/07/1759044141-702x336.jpg)
Adding linguistic techniques in SAS NLP with LLMs not only help address quality issues in text data, but since they can incorporate subject matter expertise, they give organizations a tremendous amount of control over their corpora.
![A Digital Assistant for Medical Record Review](https://blogs.sas.com/content/subconsciousmusings/files/2024/06/massey-june-figure-1-656x336.jpg)
SAS' Greg Massey describes a real-world example of digital transformation for a large customer grappling with manually reviewing patient medical records.
![Asset Performance Management with SAS: Improving Asset Uptimes while Reducing Cost](https://blogs.sas.com/content/subconsciousmusings/files/2024/06/biller-june-banner-702x336.jpg)
SAS' Bahar Biller guides you through an asset lifetime prediction scenario using a synthetically generated historical data set and a solution built on SAS reliability modeling.
![Identifying time delays in batch manufacturing for accurate anomaly detection](https://blogs.sas.com/content/subconsciousmusings/files/2024/05/Graph2-702x336.png)
Batch manufacturing involves producing goods in batches rather than in a continuous stream. This approach is common in industries such as pharmaceuticals, chemicals, and materials processing, where precise control over the production process is essential to ensure product quality and consistency. One critical aspect of batch manufacturing is the need to manage and understand inherent time delays that occur at various stages of the process.