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Company / Competitor

SAS

Mentioned in 48 AI use cases across 11 industries

Active Industries

finance15insurance14pharmaceuticalsbiotech4telecommunications4energy3aerospace defense3

AI Patterns

supervised prediction / binary classification1anomaly detection and data fitness assessment1Pattern detection plus unstructured record extraction1anomaly screening on documents1document/evidence triage plus risk scoring1

Tech Stack

FICO PlatformCustomer risk scoring models360-degree customer data layerCampaign personalization engineOmnichannel analyticsHistorical Roche clinical trial datasetSupervised machine learning modelTrial design feature engineering

Also Competes With

FICOFeedzaiIBMFeaturespaceNICE ActimizeShift TechnologyIQVIAPalantir

Use Cases Mentioning SAS

energysupervised prediction / binary classification

Customer churn prediction for energy utility subscribers

An energy company uses customer data to estimate which households are likely to leave, so it can intervene before they switch providers.

aerospace-defenseanomaly detection and data fitness assessment

AI-supported data quality triage for real-world evidence studies

Use AI to flag missing, inconsistent, or hard-to-standardize real-world data before it is used in evidence generation for submissions.

insurancePattern detection plus unstructured record extraction

Hybrid ML + LLM detection of medical provider fraud, waste and abuse

One AI looks for suspicious billing behavior, while another reads medical records and pulls key facts so investigators can find provider fraud much faster.

insuranceanomaly screening on documents

Insurance document fraud detection

AI checks insurance documents for signs they may be fake, altered, or suspicious before the insurer relies on them.

pharmaceuticalsbiotechdocument/evidence triage plus risk scoring

AI-supported regulatory assessment of external control evidence quality

Use AI tools to check whether outside patient data is good enough and similar enough to fairly compare against a new drug study.

pharmaceuticalsbiotechdocument intelligence + rule-based compliance reasoning

AI-assisted interpretation checks for adaptive confirmatory trial results

An AI system reviews adaptive clinical trial plans and results to flag places where the study design or interpretation may make the final efficacy conclusion less reliable.

insuranceGraph-based pattern discovery and suspicious-relationship detection across entities and events.

Network analytics for organized fraud ring detection

AI maps who is connected to whom across claims—like garages, dealerships and policyholders—to spot groups working together to submit fake claims.

pharmaceuticalsbiotechpredictive forecasting

Clinical trial operational efficiency prediction for study design planning

An ML system estimates how efficiently a planned clinical trial will recruit patients and how long it may take, based on the trial’s design choices.

consumerPredictive risk scoring and next-best-action targeting

Customer lapse risk detection for personalized retention campaigns

The system finds which customers are most likely to stop buying, so the company can send them the right offer or message before they leave.

energymonitoring, anomaly flagging, and human-in-the-loop decision support

Real-time billing discrepancy monitoring for call centre and operations teams

The company created live dashboards and alerts so staff could quickly see billing problems, answer customer questions faster, and fix issues before they became bigger revenue or service problems.

energypredictive risk scoring and impact forecasting

Utility storm outage and restoration forecasting for office-level response planning

A utility uses AI to look at weather, trees, power equipment, and past storms to predict where outages may happen and how long repairs could take before a storm arrives.

energyclassification and record normalization

Compliance-oriented outage event classification and reliability reporting automation

Use AI to sort outage events into the right categories and help prepare reliability reports regulators expect.

energyAnomaly detection plus explainable reporting for compliance intervention

AI-supported taxpayer self-regularization and compliance nudging

Instead of opening an audit right away, the system finds likely reporting mistakes and helps the tax authority send clear alerts so companies fix them voluntarily.

financeReal-time anomaly/risk scoring plus rule-based decisioning and orchestration

Real-time multi-channel payment fraud detection and decisioning

The bank uses AI and rules to check each payment in milliseconds and decide whether to allow it, block it, or ask the customer to confirm it.