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SYNTHESIZING THE WORLD’S REAL-TIME DATA

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Unlock Real-Time System Insight with AI and Analytics

 

Machine Data Analytics

 

Liberating Hardware-in-the-loop and Simulation Data in Real-Time Big-Data enabling AI and Analytics

 

AI Insight and Real-time Analysis

 

Requires access to continuous high-fidelity internal data across subsystems.

 

Challenges:

  • Real-time heterogenous systems
    • Differing software, computers, hardware
    • Huge data flows and variety cadence
    • Hard to interpret application binary data
  • Internal data not pre-designed to be exposed
  • Evolving system configuration
  • Avoid system impact
  • Need to analyze at run-time, playback, batch

AI Insight and Real-time Analysis

 

 

We split the problem into four parts.

 

We split the problem into four parts.

 

Expose & Analyze Big-Data Real-time, Playback, Multi-Run

 

Expose & Analyze Big-Data Real-time, Playback, Multi-Run

 

Market Applications

  • Aerospace Military and Commercial
  • Self-driving Vehicles
  • Defense Systems
  • Telecommunications
  • Financial Markets
  • Ad-Hoc Networking
  • Multi-domain Data – platforms, legacy, real-time
  • Battlefield Learning Post-Analysis/Real-time

Applications

  • Expose Data for AI to Improve Performance or Run Complex Systems
  • Real-Time Analytics to speed Life-Cycle (Rapid Sustainment, Agile Development, I&T) support of Complex system
  • Expose data for New Insight & New Missions from Operational Systems
  • Unified White-box recording and end-user training and AI evaluation
  • Multi-Domain operation streaming data and data unification.

 

Learn More

Whitepaper - Avoiding Pitfalls to a Risky and Costly Real-Time System Lifecycle