Why choose SAS for AI solutions?
Enhance your creativity. Unlock new possibilities. Boost productivity. Amplify your impact. We embed AI capabilities in our software to provide you with more intelligent, automated solutions. From machine learning, to computer vision, to natural language processing (NLP), to forecasting and optimization, our AI technologies support diverse environments and scale to meet changing business needs.
How SAS Delivers AI to Enhance Human Ingenuity
Machine Learning & Deep Learning
Machine learning and deep learning find insights hidden in data without explicitly being told where to look or what to conclude. Our AI solutions include comprehensive, intuitive machine learning tools with automated feature engineering capabilities, resulting in better recommendations for faster, smarter decision making.
Natural Language Processing
Natural Language Processing (NLP) enables understanding, interaction and communication between humans and machines. Our AI solutions use NLP to automatically extract critical business insights and emerging trends from large amounts of structured and unstructured content.
Computer vision analyzes and interprets what’s in a picture or video. Our AI solutions use computer vision to accelerate intelligent automation with simple tools for image processing, image recognition and object detection.
Forecasting helps you predict future outcomes. SAS supports all stages of forecasting and automates large-scale time series analyses and hierarchical forecasts for quickly and reliably predicting outcomes and planning better for the future.
Optimization delivers the best results given resource constraints. With SAS, you can consider more alternative actions and scenarios, and determine the best allocation of resources and plans for accomplishing goals.
Statistical analysis is critical for providing new insights, gaining competitive advantage and making informed decisions. SAS gives you the tools to act on observations at a granular level using the most appropriate analytical modeling techniques.
Operationalizing AI With Supporting Technologies From SAS
Good data is essential for building effective models that get reliable results from AI. Our data management capabilities let you access and integrate data from virtually any source. A suggestion engine simplifies data prep. And data governance tracks data and model lineage, so if your data changes, you'll know which models need retraining.
AI has been an integral part of SAS software for years. Today we help customers in every industry capitalize on advancements in AI, and we'll continue embedding AI technologies like machine learning and deep learning in solutions across the SAS portfolio. Jim Goodnight CEO SAS