Data and AI company SAS released a new collection of AI models designed to address specific business bottlenecks, the company announced Wednesday at its SAS Innovate conference.
The new models are part of SAS’s ongoing $1 billion investment in industry solutions and are available in both ready-to-use formats and versions that can be customized with customer data.
“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.
The models target a range of business challenges across multiple industries. For cross-industry applications, SAS introduced AI-Driven Entity Resolution and Document Analysis tools. Health care organizations can access a Medication Adherence Risk model, while manufacturers can implement Strategic Supply Chain Optimization. For the public sector, SAS released Payment Integrity for Food Assistance and Tax Compliance for Sales Tax models.
According to SAS, the models can integrate with existing systems regardless of organization size and include documentation to help users create explainable models that adhere to responsible innovation standards.
The company plans to release additional models later in 2025, including fraud detection tools for banking, payment integrity for healthcare, worker safety monitoring for manufacturing, and tax compliance tools for individual income tax.
SAS also previewed its next development phase, which will include agentic AI counterparts to complement these models. One forthcoming tool will be an AI agent that automates data preparation tasks that typically take data scientists weeks or months to complete manually.
“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.
The SAS Innovate conference, where the announcement was made, includes partnerships with Microsoft, Intel and AWS.
