Mastering the Art of Unsupervised Learning: Techniques and Guidance
Unsupervised learning, a cornerstone of artificial intelligence, has emerged as a powerful technique that enables machines to uncover patterns and insights from unlabelled data.
In the short term, airports should carefully craft implementation strategies that aim for incremental quick wins, whilst simultaneously envisioning potential long term applications to ensure that architectures and implementations are secure, cloud based and scalable. This will ensure that long term applications can be easily incorporated in the future. Security and privacy in the aviation industry are imperative, and a zero-trust, protected environment is immutable. An example architecture using the Microsoft Azure stack is below:
AI and IoT can be applied at every stage of a traveller’s journey (see below). AI Consulting Group’s unique approach can include an initial agile sprint to conduct an opportunity catalogue exercise help refine the airport technology strategy. Whilst advanced concepts like fully automated tarmacs are still years away, the secure cloud based technology needed is already available and being used for smart airport applications now. Airports who do not qualify and enable these architecture will quickly fall behind. Airports should map their revenue generating activities, costs, and customer experience pain points to the traveller journey to create a roadmap of opportunities (opportunity catalogue) that can transform the traveller, airline operator and employee experience. AI Consulting group is helping airports to get started by generating compelling business cases based on real return on investment (ROI) to remove the perceived cost barrier of implementing AI and IoT; taking into account ROI prioritised goals, timelines, and stakeholders to reduce uncertainty and encourage adoption.