Overview
The AI Conversational Engine (ACE) is an advanced AI-powered platform designed to enhance learning management capabilities and support complex simulation environments across training programs. It integrates critical operational and performance data with intelligent, role-based agents to facilitate various stages of the simulation and ATC training lifecycle. ACE provides users with tools across multiple phases of the simulation and learning management processes, delivering insights to improve effectiveness and operational readiness. The platform enables robust performance tracking and provides actionable analytics to identify gaps, resource patterns, and opportunities for improvement. Agentic Aviator, a key extension of ACE, enhances learning management and simulation environments with voice recognition capabilities, delivering real-time, natural-language responses and system controls to maintain exercise fidelity. With its advanced voice technology and optimized response times, Agentic Aviator ensures seamless, context-aware interactions to reduce latency and improve overall simulation quality. Both ACE and Agentic Aviator are available in tiered configurations, offering scalable integration of AI capabilities for a wide range of customer needs. The AWS MP products related to this offering are: • Amazon EC2: Scalable compute infrastructure to support AI services and processing workflows. • Amazon Polly: High-quality synthetic speech for natural-language pilot responses and instructor interactions. • AWS IoT Greengrass: Edge processing for distributed simulation environments with tight cloud-site integration. • AWS CloudWatch: Monitoring and metrics collection ensuring operational efficiency of ACE and Agentic Aviator. • AWS Security Hub: Centralized security oversight and compliance for deployed AI solutions.
Highlights
- • End-to-End Simulation and Training Support: A fully integrated solution that streamlines every phase of the air traffic control simulation and learning management lifecycle—from scenario creation and training execution to structured debriefing and comprehensive performance analysis. Real-time, AI-driven automation ensures adaptive training and operations that align with specific objectives and complexity levels.
- • Intelligent, Role-Based Automation: Harnesses advanced AI and natural-language technology to deliver accurate, context-aware voice recognition functionalities that enhance the realism, efficiency, and scalability of training environments. The platform ensures natural communications while maintaining exercise tempo and reducing latency issues.
- • Data-Driven Insights for Improved Training Effectiveness: Combines simulation, learner performance, and system data to offer actionable analytics that uncover training gaps, optimize resource usage, and inform decision-making to enhance workforce readiness and operational efficiencies.
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Flexible, tiered support options are available to meet customer needs, from self-service resources to enterprise-level, real-time assistance. Support includes proactive diagnostic services, troubleshooting, and release management. Enhanced and Mission tiers include access to extended support hours, live help, and enterprise monitoring solutions. Please send support questions to Mary Leeb - Mary.Leeb@saic.com or John Fairchild - JOHN.R.FAIRCHILD@saic.com