Connected Intelligence in Aviation: Why Breaking Down Silos Is the Key to Unlocking AI's Potential

The aviation industry is entering an extraordinary era of connected intelligence. But unlocking the full potential of AI requires more than sophisticated algorithms. It requires connecting the data, systems, processes, and people that keep aircraft flying.

On October 6, 2026, I had the pleasure of joining an exceptional group of aviation industry leaders at the TRAX User Conference in Dallas, Texas, for a panel discussion titled "Connected Intelligence in Aviation: Breaking Down Silos to Unlock Business Value."

Moderated by Rajan Bindra, VP of Business Development at TRAX, the conversation brought together Laura Schmidt, Head of Product at Boeing; Narayan Moni, Chief Product Officer at Aeroxchange; Brent Peterson-Hilleque, IT General Manager at Delta Air Lines; Tim Hau, Head of M&E Systems Transformation at Cathay Pacific Airways; and me, representing Servigistics at PTC.

What made this discussion particularly valuable was the diversity of perspectives. We had airlines, an aircraft manufacturer, an aviation technology provider, and service supply chain expertise represented in one conversation. Each of us approached connected intelligence from a different vantage point, but we quickly converged on a common understanding of where the industry needs to go.

For those who attended the session, it was an opportunity to hear firsthand how some of aviation's most influential organizations are confronting the challenges of digital transformation. If you missed the conversation, I'd like to share several of the insights that I believe will shape the next generation of aviation maintenance, logistics, and operational excellence.

Intelligence begins with connectivity

Artificial intelligence is generating tremendous excitement throughout the aviation industry, and for good reason. The opportunities to improve reliability, anticipate maintenance requirements, optimize inventory, and increase aircraft availability are extraordinary.

But during our discussion, I emphasized an important principle: You cannot achieve connected intelligence without first establishing connectivity.

That foundation has three essential elements.

First, we need connected data. Aircraft health information, maintenance records, operational schedules, reliability data, and supply chain information must be accessible across the enterprise.

Second, we need integrated planning systems and tools. Even the most sophisticated technology delivers limited value when it operates independently of the systems responsible for executing decisions.

Third, we need aligned business processes that connect people, technology, and operational decision-making.

When these three elements come together, we create an environment where advanced analytics and AI can identify meaningful relationships, anticipate requirements, and recommend actions that improve business performance.

Narayan Moni reinforced this perspective by describing how Aeroxchange has long focused on reducing friction between aviation trading partners. His insights underscored an important point: connectivity must extend beyond individual enterprises to encompass the broader aviation ecosystem.

From data silos to enterprise-wide intelligence

One of the most engaging themes of our discussion was the need to democratize data.

Tim Hau of Cathay Pacific Airways highlighted how valuable information often remains confined within individual functions. Engineering has its data. Maintenance has its data. Operations and supply chain teams have theirs. Yet these functions are inherently interconnected.

An aircraft maintenance event influences spare parts requirements. Spare parts availability affects maintenance execution. Maintenance execution affects aircraft availability, which ultimately influences airline operations and customer experience. When information remains isolated, organizations lose the ability to understand and optimize these relationships.

Brent Peterson-Hilleque shared the airline perspective, describing the complexity of managing extensive technology environments and numerous supplier systems. His discussion of Delta's efforts to connect disparate applications illustrated why enterprise-wide data integration is such an important priority.

The opportunity is not simply to make more data available. It is to make that data meaningful and actionable across organizational boundaries. And that is where connected intelligence becomes especially powerful.

Connecting predictive intelligence with spare parts optimization

Naturally, one of the areas I was most excited to discuss was the application of connected intelligence to aviation service supply chains. Traditional spare parts forecasting has often relied heavily on historical consumption. While historical demand remains an important input, it represents only part of the picture.

Imagine the opportunities when we connect that history with flight hours, aircraft utilization, fleet growth, maintenance schedules, seasonal demand patterns, repair performance, and historical work package consumption.

Suddenly, we can begin to understand not only what has happened, but what is likely to happen next. For example, maintenance schedules can be connected with historical parts consumption to develop probabilistic forecasts of future requirements. Aircraft utilization and reliability information can help us anticipate demand before it materializes.

But predicting demand is only half the challenge. We must also determine which parts to stock, where to position them, and how much inventory is required to achieve our operational objectives. This is where purpose-built service supply chain optimization becomes essential.

With Servigistics, we approach this challenge holistically, applying advanced forecasting, multi-echelon optimization, machine learning, and AI to optimize service parts across an interconnected network of warehouses, repair depots, and airport stocking locations. Rather than optimizing each location independently, we can evaluate the entire service supply chain and make decisions that balance availability, investment, and operational priorities.

The result is an opportunity to improve aircraft readiness while reducing unnecessary inventory investment.

This distinction is fundamental. Intelligence must ultimately translate into operational outcomes.

The next frontier: Predictive and condition-based maintenance

Another fascinating dimension of our conversation came from Laura Schmidt of Boeing, who explored the evolution of maintenance technology. Laura highlighted opportunities to improve technician productivity through digital tools, anticipate failures through predictive maintenance, and increasingly make maintenance decisions based on the actual condition of individual aircraft.

This progression represents a significant opportunity for the aviation industry. Historically, many maintenance activities have been scheduled according to predefined intervals. Connected intelligence creates opportunities to incorporate actual operating conditions, equipment health, and reliability information into those decisions.

The potential benefits are substantial: fewer unnecessary maintenance activities, better utilization of maintenance resources, reduced disruption, and improved aircraft availability. However, there is an important connection to service supply chain planning. Knowing that a component is likely to require replacement is valuable. Ensuring that the replacement component is available when and where maintenance will occur is what converts that insight into operational value.

This is why I believe the convergence of predictive maintenance and intelligent service supply chain optimization represents one of the most exciting opportunities in aviation. As these capabilities become increasingly connected, airlines and MRO organizations can move toward more proactive, coordinated, and efficient maintenance operations.

Aligning technology with business outcomes

One of my strongest messages during the panel was that successful transformation requires a shared understanding of business objectives.

Consider what happens when different departments optimize independently. A procurement organization might prioritize minimizing purchasing costs. An inventory team might focus on reducing stock. Maintenance teams may prioritize immediate parts availability, while operations teams are concerned with maximizing aircraft utilization.

Each objective is understandable. But optimizing them independently can create unintended consequences for the broader enterprise. Connected intelligence gives us an opportunity to align these decisions around common operational and financial metrics. That requires clearly defined key performance indicators and a shared understanding of how individual decisions influence enterprise outcomes.

Tim Hau reinforced the importance of change management and user adoption. Narayan Moni reminded us that technology must reflect the realities of the people who use it, including planners, engineers, and maintenance technicians. I couldn't agree more.

Technology is an enabler. People, processes, and business objectives ultimately determine whether it delivers meaningful value.

Don't wait for perfection to begin

Perhaps one of the most encouraging themes to emerge from our discussion was the importance of making progress rather than waiting for perfection. The aviation industry operates in an exceptionally complex environment. No organization can expect to connect every system, eliminate every data inconsistency, and automate every decision overnight.

Fortunately, meaningful transformation doesn't require that level of perfection. Organizations can begin by identifying high-value opportunities where better connectivity and intelligence can improve measurable business outcomes. That might mean incorporating aircraft utilization into spare parts forecasting, connecting maintenance schedules with inventory planning, or improving visibility across repair and replenishment operations.

Start with a practical use case. Establish measurable objectives. Demonstrate value. Build confidence. Then expand. The same principle applies to AI. Organizations should continue improving the accuracy and sophistication of their models, but they shouldn't overlook opportunities to generate value with the data and capabilities already available.

Progress builds momentum, and momentum creates the foundation for broader transformation.

A more connected, intelligent aviation future

Reflecting on our discussion in Dallas, I came away more optimistic than ever about the future of aviation maintenance and service supply chain management.

The industry already possesses extraordinary amounts of operational data, sophisticated technologies, and deep domain expertise. The next great opportunity is to bring these capabilities together. At PTC, this is central to our vision for the Intelligent Product Lifecycle and the role Servigistics plays in connecting predictive intelligence with service supply chain execution.

By connecting aircraft information, maintenance requirements, operational data, and service parts planning, we can develop a more comprehensive digital representation of the service supply chain and the operational environment it supports. That connected foundation enables more intelligent forecasting, better inventory optimization, proactive decision-making, and increasingly autonomous planning capabilities.

Most importantly, it allows organizations to translate technological innovation into measurable outcomes: improved aircraft availability, greater maintenance efficiency, stronger operational resilience, and better utilization of working capital. These aren't isolated technology improvements. They represent the building blocks of a more intelligent aviation ecosystem.

The conversation continues

One of the greatest benefits of industry events like the TRAX User Conference is the opportunity to exchange ideas directly with the people shaping aviation's future.

There is something uniquely valuable about bringing airline operators, OEMs, MRO specialists, and technology innovators together to challenge assumptions, share experiences, and explore what's possible.

For those who joined us in Dallas, I hope our discussion sparked new ideas and opportunities within your organizations. For those who couldn't attend, I encourage you to seek out these conversations at future industry gatherings. The insights, connections, and candid exchanges that happen when industry leaders come together are difficult to replicate.

My thanks to Rajan Bindra for moderating such an engaging conversation, to my fellow panelists for sharing their expertise, and to TRAX for creating an excellent forum for industry collaboration.

I look forward to continuing these discussions with aviation leaders around the world.

The future of aviation intelligence is not simply about having more data or more AI. It's about connecting what we know with what we do.

And that future is closer than many might think.