SAS Delivers Trusted Generative AI Solutions

Given the world's endless possibilities represented by generative AI, the next chapter in the history of technology is unveiled. McKinsey & Company predicts generative AI solutions will drive billions of dollars in annual revenue growth for industries like banking, high tech, life sciences, and retail. SAS is at the center of these critical industries. As part of its $1 billion investment in industry solutions, SAS will deliver the last mile of generative AI’s promise.

“SAS is being intentional with its approach to generative AI, synthetic data, digital twins simulation, and large language models, and rightfully so,” said Dan Vesset, Group Vice President of Analytics and Information Management at IDC. “These are all critical capabilities to enabling greater decision velocity – the goal among executives who are allocating investments toward the latest AI, analytics, and data initiatives. SAS’ reputation for advocating ethical AI means it will provide customers with sound guidance on these transformational technologies, which is especially important when the stakes are high for customers in industries that handle sensitive data like banking and health care.”

Learn more by attending SAS’ Generative AI Strategy for Enterprise Transformation.

SAS collaborates with manufacturing and logistics customers on digital twin simulations, while also assisting banking and healthcare industries in synthetic data generation. Our extensive research explores the utilization of large language models (LLMs) to address industry challenges, prioritizing the delivery of trusted and secure outcomes to our clients.

“Realizing value from generative AI requires deep industry domain expertise, state-of-the-art AI capabilities, and end-to-end governance. SAS uniquely delivers all of this in our portfolio,” said Bryan Harris, SAS Executive Vice President and Chief Technology Officer. “Our $1 billion investment in industry solutions includes the integration of trustworthy generative AI capabilities that are accurate, explainable, and defendable. SAS® software is often mission-critical to our customers’ businesses, and we don’t have the luxury of being right ‘sometimes.’”

During SAS Explore, SAS leaders are showcasing the progress of the company’s innovations with trustworthy generative AI. Specifically:

● Synthetic data generation

SAS has introduced a patented extension to generative adversarial networks (GANs) that generates statistically congruent tabular data mirroring real-world complexities. This breakthrough supports privacy protection, bias reduction, and the enhancement of rare events, forming the basis for digital twins. SAS' innovation in this area significantly enhances predictive models and lowers insight costs in various sectors, including healthcare, life sciences, banking, insurance, retail, and manufacturing.

● Digital twins

To plan for disruptions and improve resiliency, organizations need to simulate and optimize complex systems like supply chains and manufacturing floors. Building a digital twin of a physical system empowers an organization to ask, “What if?” and see the future faster. This leads to more strategic decisions, increased value, and reduced risk and loss. For example, SAS works with organizations like Federal Public Service Finance and Wienerberger to optimize operations, better diagnose problems, and improve predictive maintenance measures.

● Large language models

Large language models are essential components of the generative AI field. To provide tangible benefits to businesses, these foundational models need to be tailored to industry-specific applications while maintaining data privacy. SAS' proficiency in neural networks, deep learning, reinforcement learning, and natural language processing expedites the deployment of generative AI for our customers. For instance, SAS customers can harness the capabilities of generative AI models through integration with SAS Customer Intelligence 360, streamlining marketing activities such as planning, content creation, and journey design.

SAS and strategic partner Microsoft focus on generative AI productivity

SAS and Microsoft are committed to delivering productivity gains for customers while also providing trusted and secure guardrails in the development of AI.

“We know SAS excels in industry solutions with a wide variety of expertise, and we’re excited to expand our partnership with this emerging technology,” said Brad Carlstedt, Brad Carlstedt, Global Director of Partner Development at Microsoft. “By leveraging Azure OpenAI technology, we’ll be able to help global enterprises increase productivity and the confidence of their developer teams.”

The strength of LLMs is their ability to create conversational experiences from massive data sets; however, they are not designed for integrating quantitative calculations from enterprise systems. This is the critical last-mile challenge that SAS and Microsoft are partnering to solve for businesses.

SAS and Microsoft are jointly developing a generative AI integration that combines the scale of Microsoft Azure OpenAI with SAS’ orchestration of enterprise tasks and existing analytics used by enterprises to make operational decisions. The generative AI integration will be available in a private preview in Q4 2023.

SAS is working alongside customers to develop generative AI workflows for industry-specific solutions in key industries, including banking, insurance, manufacturing, retail, and throughout the public sector.