Fast-track AI’s value with a ready-made-model approach

Companies have high hopes and big expectations for the role of artificial intelligence (AI) in transforming business. Yet data limitations, talent gaps, and a rapidly changing regulatory climate are among the barriers slowing AI adoption and impeding return on investment (ROI).

According to a Gartner survey , less than half (48%) of AI projects make it into production, and those that do so take around eight months to advance from AI prototype to full-scale deployment.

But there’s good news. Ready-made AI models are easy to integrate, providing a faster on-ramp to large-scale use of AI than built-from-scratch AI models. These lightweight prepackaged AI models are industry-specific and engineered for seamless deployment, easing the skills gap, since there’s no requirement for specialized expertise. Ready-made AI models are also designed with built-in safeguards for data privacy, security, and ethical AI use, making it easier for companies in heavily regulated industries to innovate with AI while still maintaining compliance.

“Ready-made AI models are production-ready and designed to solve common business problems quickly to help professionals get their work done faster and more accurately,” says Sone Sanders, senior product manager at SAS. “They are built using large, curated data sets and advanced machine learning techniques. They are rigorously tested, so customers can deploy them with minimal setup while also using their own data.”

[subhed] SAS’s ready-made AI model portfolio

SAS brings 50+ years of industry expertise and deep roots in data management and advanced analytics to its model portfolio. SAS ready-made AI models are application programming interface (API)–enabled for quick integration into diverse IT ecosystems and are built to be used with existing or synthetic data.

Although they are designed to work out of the box, the models can also be tailored and trained on specific customer data, ensuring that they are calibrated to tackle bespoke business problems. Innovations such as model cards deliver transparency and explainability and ensure trust, and new conversational interfaces and integration with leading large language models (LLMs) and SAS copilots help facilitate deeper collaboration and autonomous decision-making.

SAS’s ready-made AI model portfolio covers both industry-specific and general-purpose models aimed at meeting challenges in the public sector, healthcare, manufacturing, and supply chain industries. Key offerings include:

• Payment Integrity for Healthcare: AI-powered models that quickly resolve billing errors and detect fraud, ensure regulatory compliance, and promote effective cost management

• Medication Adherence Risk: Ready-made AI models that help managed care providers optimize resource allocation, resulting in better patient health outcomes and lowering healthcare costs

• Document Analysis: A general-purpose, intelligent document processing pipeline built on an AI model that delivers structured data for reporting and analytics as well as optimizing for batch processing and robotics process automation

• Strategic Supply Chain Optimization: A prebuilt AI model delivering end-to-end visibility and advanced optimization and planning capabilities — a solution that helps industrial players elevate service levels and drive more efficient and profitable growth

The bottom line

AI promises a new world of innovation, but the ramp-up period can be long. Ready-made AI models shorten the route to ROI without the burden of additional overhead and risk.

To learn more, watch this related webcast here.