1. Where are MROs, OEMs and airlines seeing opportunities by embracing IoT-related platforms?
Opportunities span the entire product lifecycle to anticipate supply delays, including IoT solutions for manufacturing and predictive maintenance applications across many aircraft systems and line replaceable units. In addition, C3 IoT has outlined multiple use cases that demonstrate tremendous benefit to airlines: advanced customer analytics to increase customer satisfaction, predictive maintenance applications to increase aircraft utilization, and real-time processing capabilities to further enhance ground operation and flight planning efficiencies to minimize delays and reduce fuel consumption.
2. Are aviation firms factoring IoT into their future strategies?
A quick glance across the industry reveals that the evolution towards “connected aircraft” is well under way, as evidenced by the rapid evolution of inflight WiFi technologies that offer passengers novel cabin services, provide flight crews with real-time EFB support, and enhance ground personnel decision-making capabilities. Additionally, the business leaders C3 IoT is speaking with clearly understand that IoT will evolve rapidly towards “connected aviation”--a new paradigm in which aircraft, airlines, airport operations, air traffic control, weather and the flying public are all part of an integrated, extended real-time network.
3. What is driving the adoption of machine learning analytics in aviation?
As fleets modernize and adopt newer aircraft that produce orders of magnitude more data, such as the Boeing 787 and the Airbus A350, the need for advanced machine learning analytics will be at the core of system characterization and performance analysis. These technologies will be essential to aircraft system anomaly detection capabilities and vital maintenance troubleshooting efforts.
4. Which IoT-related technologies will be common place in the future hangar?
Multiple technologies are converging to enable a new generation of smart business processes and applications, including: Big data and real-time stream data processing, smart, connected devices with low-cost sensors, mobile computing and data science-- big data analytics and machine learning processing the volume, velocity, and variety of big data streams.
5. Are there any factors possibly standing in the way of IoT reaching its full potential?
The biggest hurdles to IoT adoption are the speed with which the sector is capable of embracing the amount of change that IoT technologies signify in terms of business process reengineering. As with other sectors, such as manufacturing and energy, innovative companies are much better positioned to take full advantage of the benefits IoT has to offer.