VMPL
Mumbai (Maharashtra) [India], April 24: So many organizations jumped on the generative AI (GenAI) bandwagon last year, but are their efforts paying off yet? If you are using , the answer is a resounding “yes”. SAS Viya, with its built-in strengths in large-scale language model (LLM) orchestration, is already helping customers improve efficiency and productivity. Throughout 2024, SAS will expand its trusted GenAI footprint with the introduction of SAS Data Maker, a proprietary synthetic data generator, and continue to innovate by offering industry-specific GenAI assistants.
The core principle of SAS is to enable anyone to query data and perform complex analytical operations at any stage of the data and analytics lifecycle, and generative AI is a key part of this journey towards democratization. It's extremely important,” said Wiktor Markiewicz, senior market research analyst at IDC. “But most leaders don’t understand AI technology and how to apply it meaningfully. Having access to already trusted data and AI platforms takes the guesswork out of the equation and moves toward generative AI. The initiative will begin.”
Georgia-Pacific and wienerberger rely on SAS Viya for AI and GenAI capabilities
The manufacturer, Georgia-Pacific, is a SAS customer using Viya. “When challenges arise with our manufacturing equipment or processes, we leverage sensor data, business rules, recommender systems, and generative AI to take appropriate action,” said Roshan Shah, vice president of Georgia Collaboration and Support Center. We will suggest the next best course of action and resolve the issue.” -Pacific. “SAS Viya's streaming analytics and intelligent decision management support enable you to capture immediate value by making the right decisions when events occur.”
Commenting on Georgia-Pacific, Bryan Harris, SAS Executive Vice President and CTO, said: “One of SAS’ core strengths is that we have deep industry knowledge. We understand manufacturing, and we understand the unique challenges of Georgia-Pacific. We help you successfully scale your LLM orchestration.'' Manufacturing-specific GenAI assistant strategies empower employees to use cutting-edge applications to troubleshoot real-time operational issues. ”
Global brick manufacturer Wienerberger also uses SAS for AI support. The company uses SAS on Microsoft Azure to reduce energy consumption, reduce greenhouse gas emissions, and improve product quality. “We use SAS AI and IoT analytics to connect all data streams and analyze the entire production process,” says Florian Zittmayr, his lead for data science at wienerberger. Masu. “SAS Analytics helps our engineers and employees gain valuable information about each step and identify specific target values to make brick drying and firing more economical. Bringing intelligence to the kiln.”
Global consumer goods manufacturers also use Viya and its GenAI capabilities to optimize warehouse space, allocate incoming shipments, and compare “what-if” scenarios based on product demand. SAS helped develop an LLM-based digital assistant by dynamically updating SAS Visual Analytics dashboards. This allows the company's supply chain team to easily save time and improve warehouse space utilization through detailed analysis. This conversational assistant enables both technical and business users to use SAS' trusted, explainable analytics to produce faster, more accurate results and improve decision-making.
Organizations are eager to adopt and implement GenAI, but there is often a gap between preparation and implementation. Learn more by reading the US executive summary of new research, Generative AI Challenges and Potential Unveiled: How to Achieve a Competitive Advantage.
SAS Viya stands out among the GenAI crowd with its practical, industry-driven applications.
As organizations consider GenAI, SAS prioritizes identifying use cases that are industry-driven and ethically applied. SAS enables secure deployment and drives productivity gains and reliable results across a variety of industries and regulatory environments. His GenAI capabilities at SAS are built into key products such as Viya and SAS Customer Intelligence 360.
* GenAI Orchestration: Viya integrates external GenAI models with existing business processes and systems and orchestrates LLM for end-to-end enterprise use cases. These features are now available in SAS Viya.
* Viya Copilot: Boost productivity for developers, data scientists, and business users with a personal assistant that accelerates analytical, business, and industry tasks. Viya Copilot provides a variety of tools for tasks such as code generation, data cleaning, data exploration, marketing planning, journey design, and knowledge gap analysis. The first iteration of Viya Copilot is available through an invite-only private preview.
* SAS Data Maker: Addresses data privacy and scarcity challenges by generating high-quality synthetic tabular data without compromising sensitive information, enabling organizations to address data privacy. SAS Data Maker is now available in private preview.
*Customer engagement. SAS continues to incorporate his GenAI capabilities into its flagship MarTech solution, SAS Customer Intelligence 360, to help marketers improve customer experiences. SAS Customer Intelligence 360 already offers GenAI assistance for streamlining marketing planning, journey design, content, and creative development. SAS is currently introducing three new features in SAS Customer Intelligence 360 for marketers. The ability to use GenAI to build recommended audiences based on natural language prompts, a chat experience that interprets audience data, and a GenAI suggestion service for email subjects.
SAS Viya's GenAI capabilities make a big difference for customers planning to:
* Accelerate innovation: Seamlessly integrate GenAI models into decision workflows, AI/ML applications, and existing business processes using decision flow tools such as SAS Intelligent Decisioning.
* Data protection: Robust data quality measures such as synthetic data generation, data minimization, anonymization, and encryption support user privacy and security and protect sensitive information.
* Create reliable and explainable results: Data experts apply natural language processing techniques to preprocess data and explain the output produced to minimize illusions and token costs. You can suppress it.
* Enhanced governance: Use built-in tools to create workflows that validate the LLM life cycle, including model risk management.
* Make more accurate decisions: Quantitative decision-making capabilities critical to successful GenAI inference are built into the Viya platform.
The announcement was made at SAS Innovate, a data and AI experience for business leaders, technology users and SAS partners. X/ Follow @SASsoftwareNews on Twitter for the latest news from SAS.
About SAS
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Editorial contact:
Kunal Aman
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