Intelligence Community
The National Intelligence Strategy guides the Intelligence Community to prioritize investments, develop capabilities, integrate intelligence, and manage resources efficiently. Technomics capabilities from CAAS, DA, DMA, and DPM service areas leverage the most innovative tools and documented best practices to deliver strategic intelligence that enables mission success for decision makers and front-end collectors.
Cloud Optimization Buys More Mission
Technomics analysts established cloud account pipelines and scrutinized architectures to uncover opportunities for cost optimization. Adopting technologies that will improve mission performance and promote effective cost management results in savings by scaling resources, eliminating unused resources, using automation, and improving processes. Efficiencies gained by analyzing service and cost limits, volumes, usage and efficiency goals can result in common policies and governance that optimize the operating environment. To ensure mission performance throughout the DevSecOps pipeline, Technomics meets with Program Managers frequently to share insights and review resource utilization.
Data Foundry Improves Large Acquisitions
Agile software development practices, while designed to deliver value sooner and accommodate changing requirements, are not intended to mitigate cost growth. Nevertheless, Program Managers must navigate this paradigm and control risk while ensuring stakeholder requirements are fully met. Technomics analysts are agile practitioners that identify key performance metrics that are specific to each unique program/capability and track them over time. The resulting data sets can be compared to benchmarks from several data repositories and analytic tools. We evaluate performance over time to deliver key insights to program managers, making sure value is delivered to the customer and utility to the warfighter.
Adaptive Risk Framework Increases
Artificial Intelligence (AI) Performance
Leveraging experience implementing Adaptive Acquisition Frameworks for pathway programs, we implement best practices that measure value in each component of the AI pipeline to continuously improve performance. Our framework captures key metrics that are unique to the program requirements and drive technical performance as well as cost. By decomposing the AI pipeline into value-driving components (data, models, T&E, detections/outputs), we model the critical feedback loops to identify risks, opportunities, and how to be leverage the supporting infrastructure. Establishing a baseline and effectively managing an AI program demonstrates the measurable impact to all stakeholders. Technomics analysts provide assessments to PMs based on decades of experience evaluating the technology, incentives, and unique development approaches that drive innovation across small and large vendors.