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AI as a service

Key Takeaway: Learn how Notilyze transformed a customer's journey to AI with transparency and trust at the forefront. 

Leveraging ‘Large Language Models’ (LLMs) on enterprise data is often considered the “holy grail” for businesses seeking to unlock significant time and cost savings. At Notilyze, we've spent the past few months working closely with our clients to explore how LLMs can be applied to their enterprise data, and perhaps you've been having similar discussions in your organization.  

We notilyzed that many of our customers who started out on SAS Enterprise Guide or SAS Data Integration Studio are still using SAS BASE for ETL processing. Still solid stuff working seamlessly with SAS Viya Cloud but keep an eye on your resource footprint and develop lean.

As more and more companies embrace the paperless trend, it has now become easier than ever to send, receive, and manage information. However, we notilyzed that departments are still struggling to handle, open, read, summarize, classify, and rename large volumes of documents for the processing of applications. Working with confusing file names in various formats can be frustrating, and when it comes to reviewing transactions or other important data, you are really PDF’d. People see the DOC too often.

Fortunately, we can offer relief to the departments, the business, and its shareholders by automating these time-consuming tasks with SAS Visual Text Analytics. Check out our use case below to discover how.

SAS is an advanced software that requires technical know-how. It is used by a wide variety of people, which is why its content and functionalities have to remain accessible to any user. 

This year, Notilyze is participating in the SAS Hackathon again, for the first time in the Manufacturing sector. The team is immersing itself in the IoT solutions of SAS to gain insights into business processes.

For the SAS Hackathon, Notilyze created a chatbot for camp managers of refugee camps to obtain information from our data and analytics in an accessible way and suitable for a low bandwidth.