Leading data and AI platform helps explain and integrate large language
models to augment existing processes; SAS Data Maker will address critical
challenges without compromising sensitive data
Mumbai, April 24, 2024 - So many organizations have jumped on the generative AI (GenAI) bandwagon in the last year, but
are those efforts delivering results yet? If the organization uses the SAS®
Viya® data and AI platform, the answer is a resounding yes. Infused with large
language model (LLM) orchestration strength, SAS Viya is already helping
customers accelerate efficiency and productivity. Throughout 2024, SAS will
continue delivering innovation by broadening its trustworthy GenAI footprint
with the introduction of its own synthetic data generator – SAS Data Maker –
and by offering industry-specific GenAI assistants.
“SAS’ guiding principle is everyone
should be able to query data and perform complex analytical operations in every
phase of the data and analytics life cycle, and generative AI is crucial in
this democratization journey,” said Wiktor Markiewicz, Senior Market Research
Analyst at IDC. “But most leaders don’t understand AI technology and how they
can apply it meaningfully. Having an already trusted data and AI platform
available removes the guesswork and kickstarts the generative AI
journey.”
Georgia-Pacific and wienerberger rely on SAS Viya for AI and
GenAI capabilities
Manufacturer Georgia-Pacific is a
SAS customer using Viya. “When challenges emerge with our manufacturing
equipment or process, we leverage sensor data, business rules, recommender
systems and generative AI to suggest the appropriate next best action and
resolve the problem,” said Roshan Shah, Vice President, Collaboration &
Support Center, Georgia-Pacific. “Streaming analytics and intelligent decision
management support from SAS Viya helps us capture immediate value by making the
right decisions as events occur.”
About Georgia-Pacific, SAS Executive Vice President and CTO
Bryan Harris said, “One of SAS’ core strengths is our deep bench of industry
knowledge. We understand manufacturing, and we understand Georgia-Pacific’s
unique challenges. We help them appropriately scale LLM orchestration and
manufacturing-specific GenAI assistant strategies so their employees can use
those cutting-edge applications to troubleshoot real-time operational issues.”
Global brick manufacturer wienerberger also uses SAS for AI
support. The company reduces energy consumption, cuts greenhouse gas emissions
and improves product quality using SAS on Microsoft Azure. "We use AI and
IoT analytics from SAS to connect all our data streams and analyze the entire
production process," says Florian Zittmayr, Team Lead for Data
Science at wienerberger. "SAS Analytics brings intelligence to the kiln by
helping our engineers and employees to gain valuable information about each
step and identify specific target values to make the drying and firing of
bricks more economical."
And a global consumer goods manufacturer uses Viya and its
GenAI capabilities to optimize warehouse space, allocate inbound 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 so the company’s supply chain teams can easily save time and improve
warehouse space usage with in-depth analytics. This conversational assistant
allows both technical and business users to generate fast and accurate results
and improve decision making using SAS’ trustworthy, explainable
analytics.
Organizations are enthusiastic about adopting and deploying
GenAI, but there’s often a gap between preparedness and execution. Learn more
by reading the US Executive
Summary from a new study: Generative AI
Challenges and Potential Unveiled: How to Achieve a Competitive Advantage.
SAS Viya stands out in the GenAI crowd because of pragmatic,
industry-driven applications
As organizations explore GenAI, SAS prioritizes identifying
industry-driven and ethically applied use cases. SAS enables secure adoption and
fosters accelerated productivity and trusted results across diverse industries
and regulatory landscapes. SAS’ GenAI functionality lives in leading products
like Viya and SAS Customer Intelligence 360:
●
GenAI orchestration: Viya integrates external GenAI models with existing business
processes and systems, orchestrating LLMs for end-to-end enterprise use cases.
These capabilities are now available in SAS Viya.
●
Viya Copilot: Enhances
productivity for developers, data scientists and business users with a personal
assistant that accelerates analytical, business and industry tasks. Viya
Copilot offers diverse tools for tasks like code generation, data cleaning,
data exploration, marketing planning, journey design and knowledge gap
analysis. The first iteration of Viya Copilot is available through an
invitation-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 infuse GenAI capabilities into its flagship
MarTech solution, SAS Customer Intelligence 360, to help marketers elevate the customer experience. SAS
Customer Intelligence 360 already offers GenAI assistance on streamlining
marketing planning, journey design and content and creative development. SAS is
now introducing three new capabilities in SAS Customer Intelligence 360 for
marketers: using GenAI to build recommended audiences based on natural language
prompts, a chat experience to interpret audience data and a GenAI suggestion
service for email subject lines.
The GenAI functionality of SAS Viya makes a meaningful
difference to customers planning to:
●
Accelerate innovation: Seamlessly integrate GenAI models into decisioning workflows,
AI/ML applications and existing business processes by using decisioning flow
tools like SAS Intelligent Decisioning.
●
Protect data: Support user privacy and security with robust data quality
measures, including synthetic data generation, data minimization, anonymization
and encryption, so sensitive information remains safeguarded.
●
Create trustworthy and explainable results: Data experts can apply natural language processing
techniques to preprocess data and explain the generated output, minimizing hallucinations
and token costs.
●
Enhance governance: Use built-in tools to create workflows that validate the
life cycle of LLMs, including model risk management.
●
Make more precise decisions: Quantitative decisioning capabilities, critical for
successful GenAI reasoning, are built into the Viya platform.
The announcement was made at SAS Innovate, the data and AI experience for business leaders, technical users
and SAS Partners. Keep up with the latest news from SAS by following @SASsoftwareNews on X/Twitter.
SAS is a global leader in data and AI. With SAS software and
industry-specific solutions, organizations transform data into trusted
decisions. SAS gives you THE POWER TO KNOW®.
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Editorial Contact:
Kunal Aman
kunal.aman@sas.com
+91 22 6250 1600
www.sas.com/news