Data and AI solutions firm SAS is set to revolutionise business problem-solving with the unveiling of its unique, industry-specific AI models. The models, which have been designed for individual licensing, allow organisations to readily implement AI technology swiftly and productively.
Chandana Gopal, Research Director for Future of Intelligence at IDC, recognised SAS's novel adaptation of their portfolio. "SAS is evolving its portfolio to meet wider user needs and capture market share with innovative new offerings. An area that is ripe for SAS is productising models built on SAS core assets, talent and IP from its wealth of experience working with customers to solve industry problems," Gopal said.
Renowned for providing scalable and trustworthy AI models for prominent global financial, health care, manufacturing brands, and government institutions, SAS's new AI models go beyond the large language models (LLMs) that are currently the primary focus of today's market. SAS's new models move into deterministic AI sector providing advanced solutions for use cases such as fraud detection, supply chain optimization, entity management, document conversation and health care payment integrity among others.
These newly revealed industry-specific models differ from traditional AI applications, which can be complex and time-consuming to implement. Indeed, SAS's models have been engineered for rapid integration, enabling companies to operationalise trustworthy AI technology and swiftly realise tangible benefits and accurate results.
Emphasising the importance of this development, Udo Sglavo, Vice President for AI and Analytics, SAS, noted that, "Models are the perfect complement to our existing solutions and SAS Viya platform offerings and cater to diverse business needs across various audiences, ensuring that innovation reaches every corner of our ecosystem." Sglavo further underlined the company's tailored approach to specific industry needs, explaining how this empowers businesses to thrive in their specific environments.
In a broader context, businesses are increasingly relying on AI to compete effectively but frequently face challenges in staffing data science teams due to AI skills shortages. The use of SAS's easy-to-integrate, robust models, honed over half a century of industry leadership, provides a viable solution to this issue.
The availability of these industry models as packaged offerings is a result of SAS's commitment to investing $1 billion in AI-powered industry solutions, and will expand on SAS's longstanding focus on providing packaged solutions to address industry challenges.
For those embarking on their AI journey or those seeking to speed up the incorporation of AI across their enterprise, "SAS Models provide organizations with flexible, timely and accessible AI that aligns with industry challenges," said Sglavo. The SAS models are expected to be made generally available to the public later this year.
It is evident that SAS's innovative AI models will have a considerable impact on businesses' problem-solving capabilities moving forward, providing a flexible and accessible solution to effectively and efficiently tackle industry-specific challenges.
