Collective Inference based Data Analytics System for Post-Operations Analysis (CIDAS-P) SBIR
Current-day post operations analysis (POA) at airport, airline and FAA facilities could benefit from Statistics and Probabilistic inference-based techniques for enabling actionable outcomes. ATAC’s Collective Inference based Data Analytics System for POA (CIDAS-P) platform provides automated, actionable POA outcomes by applying machine learning techniques and novel, low-level intuitive performance metrics for direct comparison of daily operations against “similar” historical operation time-periods to reveal hidden operational insights.
ATAC is rolling out a commercial Cloud-based CIDAS-P Platform that can be accessed by airline, airport, NASA, and FAA systems and personnel as a “Platform-As-A-Service” (PAAS). This capability provides a one-stop platform for gate-to-gate, complete POA including aviation data acquisition, storage, analytics, and root cause diagnosis, in a post-analysis mode as well as a real-time, continuous operations monitoring mode.