Solution Brief
Accelerate decisioning, productivity and trust with generative AI and SAS® Viya®
The issue
GenAI has the potential to revolutionize productivity for both humans and businesses. However, organizations face significant challenges in creating a GenAI strategy, such as integrating the technology into existing systems, ensuring compliance with evolving regulations and overcoming skill scarcity.
Organizations in the public and private sectors look to benefit from GenAI but need help extracting value from their data, ensuring quality outcomes and navigating project complexities. Organizations are proceeding cautiously and aligning with data strategies, privacy protocols and infrastructure capabilities.
The successful adoption of GenAI hinges on overcoming these challenges and aligning with existing business frameworks. Innovative GenAI approaches from SAS can allow you to extract value from existing data, accelerating decision making and improving productivity with trustworthy AI.
The challenge
Data privacy and security concerns
Safeguarding sensitive data and ensuring compliance. SAS offers robust data protection.
Governance and accuracy
Models may be released inconsistently across providers. SAS ensures reliable outputs.
Transparency and explainability
Building and tracking decisions for regulatory and auditing purposes. SAS allows for fully transparent AI and explainable outputs.
Technology deployment complexity
Integrating GenAI solutions into existing IT infrastructure can be complex and time-consuming. SAS provides seamless compatibility.
Data quality and availability
Poor data quality, incomplete data sets and inaccessible data silos hinder effectiveness. SAS makes sure data is trusted and safe.
Alignment with business objectives
Ensuring initiatives align with overarching organizational goals. SAS is a strategic partner ensuring priorities are met.
- 95% of businesses lack a comprehensive governance framework for GenAI.
- GenAI is expected to add $4.4 trillion annually to the global economy.
- 70% of leaders believe GenAI is a must-have in any data management and analytics solution.
Our approach
As organizations explore GenAI, SAS prioritizes identifying high-ROI, ethically applied use cases. We aim to enable secure adoption, fostering accelerated productivity, trusted results and faster innovation across diverse industries and regulatory landscapes.
We provide software and services, including:
AI agents with SAS Viya
Build, deploy and govern accurate and customizable AI agents that combine data, large language models (LLMs), traditional AI, business rules and guardrails to execute different tasks. SAS Viya provides built-in agentic AI security, explainability, transparency, orchestration and governance with flexible deployment options to match your infrastructure needs and ensure smooth integration into your operations. SAS empowers AI agents to drive enterprisewide strategic action with governed, AI-informed, contextualized decisions at scale.
LLMs with SAS Viya
Integrate any LLM within SAS Viya for performance assessment, cost monitoring, governance, toxicity and bias detection to achieve more accurate results from your GenAI investments.
AI assistants for developers and data scientists with SAS Viya Copilot
This is a conversational, AI-driven assistant for the data and AI life cycle embedded directly into SAS Viya that democratizes access to AI. You can use it to generate, comment on and document SAS code, as well as train models and build pipelines faster and more efficiently.
Synthetic data with SAS Data Maker
Address limited real data challenges by generating high-quality synthetic tabular data statistically representative of the original training data without compromising sensitive information.
SAS difference
Here's what makes SAS different:
- A unified platform for GenAI and agentic AI. SAS Viya supports organizations through every stage of the GenAI and agentic AI journey, integrating any LLM, AI, data, business rules and guardrails to build, deploy and monitor accurate and advanced AI applications.
- Data protection. Uphold user privacy and security with robust data protection measures, including data minimization, anonymization and encryption, ensuring that sensitive information remains safeguarded.
- Trustworthy results. Apply SAS natural processing techniques to pre-process data, ensuring only high-quality data is fed to LLMs, minimizing computational waste, reducing costs and producing reliable outcomes.
- Enhanced governance. Use built-in workflows that validate the entire life cycle of LLMs, from regulatory compliance to model risk management. Additionally, SAS offers responsible ideation, experimentation and operationalization support.
- Precise and transparent decisioning. Deterministic decisioning capabilities, critical for successful GenAI reasoning, are built into the Viya platform while providing capabilities to explain how decisions are made.
SAS' holistic GenAI approach sets it apart as a trusted partner in driving innovation, safeguarding data and ensuring governance compliance.
SAS Viya: Your unified platform for GenAI and AI agents
SAS Viya Copilot
AI assistants for developers and users
- Code assistance
- Model development
SAS Viya improves LLM outcomes
Better LLM outcomes and performance
- Pre-filter data
- Detect toxicity and bias
- Prevent private data leakage
- Performance and cost monitoring
SAS Viya AI Agents
Build real AI Agents
- For any use case and industry
- Governance and business guardrails
- Data protection and scalability
SAS Data Maker
Use AI to generate synthetic data
- High-quality synthetic data
- Augment your data sets
- Protect your private data
Where are you in your GenAI journey?
Take a GenAI maturity assessment.