SAS debuts new AI models

In the latest wave of its US$1 B investment in industry solutions, data and AI specialist SAS has debuted new AI models that address specific labour- and time-intensive processes that can drag business down. The packaged models come either ready-to-go or intended to tailor and accelerate model training on customer data.

Available models include:

- Cross-industry: AI-Driven Entity Resolution. | Document Analysis.

- Healthcare: Medication Adherence Risk.

- Manufacturing: Strategic Supply Chain Optimization.

- Public Sector: Payment Integrity for Food Assistance. | Tax Compliance for Sales Tax.

“SAS Models are based on SAS’ core assets, talent and intellectual property from its wealth of experience working with customers to solve industry problems,” said Kathy Lange, Research Director at IDC.

“Between their scalability and seamless integration with existing environments, SAS models are a great option for those looking to accelerate time to production who might lack the expertise or time to build models from scratch.”

More models are in the pipeline for 2025:

- Banking: Fraud Decisioning for Payments and Card Models.

- Healthcare: Payment Integrity for HealthCare.

- Manufacturing: Worker Safety Monitoring.

- Public Sector: Tax Compliance for Individual Income Tax.

The next chapter includes agentic counterparts to SAS’ models, the company said.

It can take weeks or months for data scientists to create and finetune data lakes - essential repositories that can store, then crunch large amounts of raw customer data in its original format - then restructure and transform it to make it ready for models to use. SAS’ answer is a prebuilt AI agent that will automate complex data preparation tasks, helping models run in real time, with no manual data restructuring required.

“We believe the future of AI lies in agents that are not only intelligent but also responsible, ready-to-use and relevant,” said Udo Sglavo, VP of Applied AI and Modeling, R&D at SAS.

“Our new industry-specific models, built on decades of domain expertise and guided by our ethics-first approach, represent a bold step toward agentic AI: solutions that think with context, act with purpose and deliver real-world impact.”

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