Episode Summary: 

In this episode of the BetterTech podcast about Future of AI, host Shahzad Cheema interviews Ksenia Palke, Head of AI at Airspace, to discuss her career journey and the role of AI in time-critical logistics. Ksenia shares her transition from academia, with a background in space geodesy engineering and a PhD in geophysics, to the dynamic world of industry. She explains how AI and machine learning have transformed operations at Airspace, enhancing speed and visibility in the logistics of critical items like medical organs and aircraft parts. Ksenia highlights the challenges of maintaining high-quality data and transparency while ensuring fast deliveries. She elaborates on the use of large language models to process unstructured data, improving decision-making. Ksenia expresses her excitement about future technological advancements in AI, emphasizing the ongoing potential for innovation in the logistics sector.

Show Notes:

1.Overview of Ksenia’s background and her journey to becoming Head of AI at Airspace.
2. Discussion on the application of AI in time-critical logistics and how it differs from traditional logistics.
3. Detailed explanation of the challenges Airspace faces in maintaining speed and visibility.
4. Insights into how Airspace leverages machine learning and LLMs to handle unstructured data and improve logistics efficiency.
5. Ksenia’s perspective on the future of AI in logistics and the potential for further technological advancements.

This episode is hosted by Shahzad Cheema, Host, BetterTech