Speaker
Jon Baker
Appearances over time
1 episodes
Episodes
1
Podcasts
Quotes & moments
The platform represents a shift from disconnected systems to a unified, autonomous agentic workforce that connects customers and vendors.
By comparing what the system recommends with what human buyers actually chose, carriers can refine algorithm scoring without risk.
The velocity of modern AI development requires constant monitoring of new services, research papers, and software design patterns.
With teams remaining smaller and aircraft utilization running high, operators are highly receptive to efficiency-driving AI tools.
While individual airlines struggle to monetize isolated history, aggregating anonymized procurement data unlocks powerful trends. Letting agentic systems act on these collective insights is where the ultimate value lies.
With procurement and aftermarket staffing levels still depressed compared to pre-COVID times and travel demand back at record highs, airlines are aggressively turning to AI to bridge the operational gap.
True aftermarket transformation requires moving past simple data connections to intelligent, automated decision-making. The goal is to build an agentic workforce that manages transactions and systems end-to-end.
AI agents build trust by assigning confidence scores to their recommendations based on available data and timing. As these scores improve, systems can safely transition from human review to fully autonomous execution.
Before letting AI run wild, systems should operate in shadow mode to compare AI recommendations against actual choices made by human procurement teams. This provides a risk-free environment to calibrate and tune performance.
The sheer speed of AI innovation is unprecedented, requiring software teams to spend hours each week studying new research. Organizations must use AI-assisted development tools just to build and scale their own AI agent systems.
Analysis
What they talk about
- Business 50%
- Technology 50%
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