Solution Brief
SAS ready-made AI models
Accelerate AI at lower cost and risk with ready-made AI models.
The issue
Organizations face several challenges when adopting new AI technologies. The shifting market creates barriers to entry, such as AI talent gaps, data limitations, rising costs and compliance with evolving domestic and global regulators.
Compounding these challenges is a need for faster answers to specific business problems without added overhead. For instance, how a health care organization tasked with improving patient outcomes might also need to solve a supply chain question outside of industry expertise. Building the data pipeline, training and testing the AI model and then complying with regulations might take longer in this scenario without the right data, AI talent and intellectual property to apply effectively. This can expose organizations to unwanted financial, reputation and regulatory risks.
The challenge
When adopting AI technologies, organizations struggle with:
Regulatory compliance
SAS ready-made AI models are built to navigate complex regulations and meet compliance requirements.
Ecosystem integration
SAS ready-made AI models are API-enabled and can be integrated into diverse and varied IT ecosystems.
Data access
SAS ready-made AI models can be used with existing data or with synthetic data to overcome data privacy concerns or data restrictions.
Efficient projects
SAS ready-made AI models are pre-packaged to avoid lost productivity from poorly scoped data science initiatives.
Resource constraints
SAS ready-made AI models solve the talent gap and are easily used with or without an in-house data science team.
Customization requirements
SAS ready-made AI models fulfill unique requirements without the need for extensive customization.
Ready-made AI models
Built for when, where and how you need them:
Containerized approach for rapid deployment
Our approach
SAS breaks down common barriers to AI adoption. Ready-made AI models are portable, industry-focused offerings designed to tackle business challenges with precision and efficiency. Models are built from decades of expertise in applying scalable and trustworthy AI to real-world use cases across various industries, including banking, health care, manufacturing and the public sector.
Based on nearly 50 years of experience, SAS models are customer and industry-inspired. We design them to comply with regulatory bodies while protecting sensitive data and incorporating innovation in a strategic and trustworthy manner.
Overcome infrastructure limitations with API-enabled models constructed with data and AI disciplines, including advanced analytics, machine learning, optimization, natural language processing and synthetic data generation. Ready-made AI models simplify AI adoption and deployment using proven industry best practices, workflows and methodologies.
Deploy AI with confidence using SAS models, which integrate seamlessly across diverse environments and enable rapid deployment backed by a trusted technology leader.
SAS difference
Organizations across industries and the public sector will continue to seek faster time to value and easier AI integration with legacy systems. SAS ready-made AI models provide a scalable solution to move key initiatives forward with fewer barriers and less risk.
Accelerated innovations
- Save time and resources with ready-made AI.
Data availability
- Use synthetic data when real-world data is scarce or has privacy restrictions.
Trustworthy results
- Engineered with trustworthy AI technology in mind.
Industry-specific
- Cross-industry AI models cover banking, health care, manufacturing, retail, insurance and the public sector.
Flexible implementation
- Portable and available in several delivery options. Designed with simplicity in mind.