
From generation to distribution, get repeatable, traceable, and defensible energy forecasts in the cloud. Scale up and scale down depending on the requirements of your business. SAS Energy Forecasting Cloud enables you to automate data ingestion and statistical and AI/ML model building so you can select the best one without the need for data science expertise. Whether you are a dispatcher or a trader, you can make the timeliest operations decisions and market offers, like never before.

Automate and optimize inventory distribution by calculating optimized inventory levels and order quantities at every SKU, level and location. Maintain adequate stock, maximize response times, increase revenue, reduce carrying costs and improving customer satisfaction. Manage data on millions of SKUs. Gather and consolidate huge data volumes throughout the distribution chain. Then transform, standardize and cleanse the data for inventory optimization.

SAS Energy Forecasting offers a broad range of automation, scalability, statistical sophistication and transparency. It enables utilities to operate more efficiently and effectively at all levels of decision making.

SAS Data Maker is a secure, enterprise-grade synthetic data generator designed to create statistically representative data without exposing sensitive or regulation-protected information. It enables organizations to generate synthetic data that mirrors real-world data's statistical, relational, and temporal characteristics, facilitating robust AI model development and data analysis while ensuring privacy and compliance. Key Features and Functionality: - Enterprise-Grade Trust and Capabilities: Leveraging decades of expertise in regulated industries such as banking, healthcare, and government, SAS Data Maker provides multitable source data, time series data, and differential privacy to meet enterprise-level synthetic data requirements. - No-Code Interface: The user-friendly graphical user interface (GUI) democratizes synthetic data generation, allowing business users to create and manage data without extensive technical knowledge. - Built-In Data Quality and Evaluation Tools: The solution includes tools to support various generation methods and evaluate the quality of synthetic data using visual metrics, ensuring statistical fidelity to real-world datasets. - Privacy-Enhancing Technologies (PETs): Users can seamlessly integrate synthetic data into existing workflows without significant changes, enabling the safe use of data without compromising privacy. Primary Value and User Solutions: SAS Data Maker addresses challenges related to data scarcity, privacy concerns, and regulatory compliance by providing a reliable method to generate synthetic data. This capability allows organizations to: - Accelerate AI Development: By filling gaps in training data, organizations can develop and deploy AI models more rapidly and effectively. - Enhance Data Privacy: Synthetic data generation mitigates risks associated with handling sensitive information, ensuring compliance with privacy regulations. - Reduce Costs: Organizations can minimize expenses related to data acquisition and processing by generating synthetic data instead of collecting real-world data or purchasing third-party datasets. By integrating SAS Data Maker into their data ecosystems, organizations can innovate responsibly, leveraging synthetic data to drive insights and decision-making without compromising data privacy or security.




SAS AI Navigator is a lightweight SaaS offering that provides a unified, enterprisewide view of AI assets for governance and audit readiness. It centralizes information about AI models, agents and use cases – whether developed internally or sourced externally – documents internal policies and external regulations, and helps organizations manage AI responsibly and transparently.

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®.