Data strategy and engineering
Data strategy, target architecture, data engineering, systems integration, data quality, lineage, platforms, pipelines, security, and controlled access.
Practice area
AI, Data, and Computational Solutions
Informatics helps organizations establish reliable data foundations, apply advanced analytical methods, govern AI responsibly, and deploy technical solutions within operational and decision workflows.
Capabilities
Applied AI and advanced analytics
Predictive modeling, generative AI, retrieval-augmented generation, information retrieval, natural language processing, forecasting, optimization, anomaly detection, production deployment, and performance monitoring.
Responsible AI and model governance
Use case risk classification, independent review, model validation, explainability, fairness testing, human oversight, control design, documentation, performance monitoring, and change management.
Computational modeling and decision support
Agent-based modeling, system dynamics, simulation, optimization, network and geospatial analysis, stress testing, uncertainty analysis, visualization, workflow integration, and executive decision support.
Client outcomes
Outcomes we help clients achieve.
- Trusted data for operational and strategic use
- AI systems aligned with organizational objectives, risk controls, and mission requirements
- Faster movement from prototype to production
- Improved decisions through modeling and advanced analytics