SAS Viya expands product capabilities to accelerate user productivity with generative AI

SAS Viya, the leading data and AI platform, uses the interpretability and integration of large language models to improve existing processes, and SAS Data Maker solves key challenges while protecting sensitive data

BEIJING, April 18, 2024 /PRNewswire/ -- Many companies jumped on the generative artificial intelligence (AI) boom last year, but are they already benefiting from it? If they are using the SAS® Viya® data and AI platform, the answer is yes. SAS Viya's large language model (LLM) orchestration capabilities have helped a large number of users increase productivity and efficiency. Throughout 2024, SAS will continue to expand SAS Viya's trusted generative AI capabilities with innovative products – SAS Data Maker, a synthetic data generator, and generative AI assistants for specific industries.

For more information on Viya large language model orchestration and other generative AI capabilities, check out the solution brief: Generative AI and SAS Viya Accelerate Productivity.

"The guiding principle of SAS is that everyone should be able to query data and perform complex analytical operations at every stage of the data and analytics lifecycle. Generative AI plays an important role in this democratization process. Wiktor Markiewicz, senior market research analyst at IDC, said, "But most business leaders don't understand AI technology and don't know how to use it wisely." Having a trustworthy data and AI platform can eliminate these doubts and make your generative AI journey well. "

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The manufacturer, Georgia-Pacific, is a customer of SAS Viya. "When manufacturing equipment or processes are challenged, we solve the business challenge by leveraging sensor data, business rules, recommender systems, and generative AI to derive recommendations for the next best course of action. "Thanks to SAS Viya's streaming analytics and intelligent decision management, we are able to make the right decisions when problems arise and gain immediate business value," said Roshan Shah, vice president of Georgia-Pacific Cooperation and Support. "

Speaking of Georgia-Pacific, Bryan Harris, executive vice president and chief technology officer, SAS, said, "One of SAS' core strengths is our deep industry knowledge. We understand the manufacturing industry, and we understand the unique challenges facing Georgia-Pacific. We helped them rightfully scale their large language model orchestration scenarios and enrich their manufacturing generative AI assistant capabilities so that their employees could use these cutting-edge technologies to solve operational problems in real time. "

Wienerberger, a global clay products group, has also adopted SAS to support its AI applications. By using SAS products deployed on Microsoft Azure, Wienerberg has reduced energy consumption and greenhouse gas emissions while improving product quality. "We used SAS AI and IoT analytics to bring all the data streams together to analyze the entire production process. SAS has made the furnaces smarter, and our engineers and employees have been able to gain valuable insights from each production step and find the best configuration of relevant metrics from the brick drying and firing process, resulting in improved economic efficiency," said Florian Zittmayr, Data Science Team Leader at Wienerbergen.

In addition, a global consumer goods manufacturer has adopted SAS Viya and its generative AI capabilities to optimize warehouse storage space and the allocation of inbound goods, and to "what-if" scenarios and compare them based on product demand. By dynamically updating SAS Visual Analytics dashboards, SAS helped the manufacturer develop a digital assistant based on large language models, making it easy for its supply chain team to reduce working hours and improve warehouse space utilization with in-depth analytics. The AI conversational assistant uses trusted, explainable SAS analytics to enable technology departments and business users to get fast, accurate results to improve decision-making.

Despite the enthusiasm for the deployment and adoption of generative AI, there is a gap that needs to be bridged between strategy and implementation. For more information, see a summary of a recent study in the U.S., Demystifying the Potential and Challenges of Generative AI: How to Achieve Competitive Advantage.

SAS Viya target TO Applications are industry-driven and highly practical, with a wide range of generatives TO Stand out from the crowd

As companies explore generative AI, SAS prioritizes industry-driven and ethical use cases. SAS supports the security of generative AI applications to increase productivity and accelerate trusted results across industries and regulatory environments. SAS generative AI capabilities are available in flagship products such as Viya and SAS Customer Intelligence 360:

• Generative AI Orchestration: Viya integrates generative AI models with existing business processes and systems within the enterprise to orchestrate large language models and apply them to end-to-end scenarios of the enterprise. These features are now available in SAS Viya.
• Viya Copilot: Accelerate analytics, business, industry, and more tasks with a personal assistant that increases the productivity of developers, data scientists, and business users. Viya Copilot offers a variety of tools for tasks such as code generation, data cleansing, data exploration, marketing planning, journey design, and knowledge gap analysis. The first private preview of Viya Copilot is currently available to invite-only users.
• SAS Data Maker: By generating high-quality, synthetic tabular data, it not only protects sensitive information, but also helps organizations address the challenges of data privacy and data scarcity. SAS Data Maker is now in private preview.
• Interactive marketing: SAS continues to add generative AI capabilities to its flagship marketing technology solution, SAS Customer Intelligence 360, to help marketers improve the customer experience. SAS Customer Intelligence 360 leverages generative AI to help customers streamline marketing plans, design customer journeys, develop content and creative, and more. SAS Customer Intelligence 360 now adds three new generative AI capabilities to marketers – recommending target customers through natural language algorithms, analyzing customer data during conversations, and providing content recommendations for emails.

Viya's generative AI capabilities play an important role in customer marketing initiatives:

• Accelerate innovation: Seamlessly integrate generative AI models into decision-making workflows, AI/machine learning (ML) applications and existing business processes by using tools such as SAS Intelligent Decisioning.
• Secure your data: Implement robust data quality measures – including the generation, simplification, anonymization, and encryption of synthetic data – to protect sensitive information, user privacy, and security.
• Produce trusted, explainable results: Data experts can apply natural language processing techniques to pre-process the data and be able to interpret the output results, minimizing illusions and reducing token costs.
• Strengthen governance: Use built-in tools to create workflows that validate the lifecycle of large language models, including model risk management.
• Make more accurate decisions: The Viya platform has built-in quantitative decision-making capabilities, which are critical to successful inference in generative AI.

Today's report was made at the SAS Innovate conference. SAS Innovate is the data and artificial intelligence event for business leaders, technology users and SAS partners, the analytics leader SAS. For the latest news from SAS, follow SAS on Twitter @SASsoftwareNews.

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