Justin Bundick, Managing Director of AI and Data Transformation at Southwest Airlines, joins host Imran Mian to explore the real-world complexities of scaling AI in one of the world’s most operationally intense industries. With a focus on turning experimentation into enterprise impact, Justin outlines what most organizations overlook when moving beyond pilots—highlighting the critical role of infrastructure, data readiness, governance, and change management.

He shares the story behind the Leading Indicators Alert Tool (LIAT), a predictive system that uses hundreds of real-time and historical data points to forecast operational disruptions 24 hours in advance. Built on Southwest’s integrated data foundation and cloud-native platforms, Liat exemplifies how AI can shift from insights to action—if embedded correctly into workflows and decision-making.

Throughout the episode, Justin stresses the importance of human-centred design and empathy-driven AI development. He explains how his team begins by deeply immersing themselves in business processes to ensure AI solutions are not only technically sound but also usable and trusted by the people they serve. The conversation also explores Southwest’s partnerships with AWS and Anthropic, and how these collaborations enable rapid development and responsible scaling of both traditional and generative AI.

For technology and business leaders aiming to move AI out of the lab and into production—without losing momentum or mission—this episode offers a tactical, no-fluff perspective from the frontlines of enterprise transformation. 

Justin shares his perspective on:

- Operationalising AI in complex environments 
- Forecasting disruption through predictive modelling 
- Embedding AI into business workflows 
- Breaking down barriers to AI scale
- Driving AI outcomes with cloud strategy 

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