The webinar focused on the issue of travel program leakage, with speakers Steve, Maryellen, and Jennifer sharing their experiences and insights. They defined leakage as bookings made outside of their managed travel program and identified challenges such as tracking duty of care in last-minute bookings and the importance of open communication with travelers. The meeting primarily focused on the challenges and solutions related to travel program leakage and non-compliance, emphasizing the need for better tools to manage the program effectively.

44:47

The webinar focused on the use of data in business travel and meetings. The panel discussed the challenges and importance of consolidating and trusting data in travel management, emphasizing the need for clean and reliable data. They also explored the potential of including finance data in travel spend and shared examples of how data analysis led to significant savings for their clients. The conversation concluded with Fernando sharing his experiences and thoughts on data management and transparency from his time at Tesla.

49:01

The discussion focused on how AI and machine learning are being utilized to solve data analytic problems in the travel industry. Jean, from Cerebri AI, explained how AI can help personalize predictions for individual travellers and teams, leading to better budgeting and decision-making. Brian emphasized the importance of data accuracy and the potential for AI to save travel programs 2-5% of their budget. The panellists highlighted the resilience and importance of business travel post-pandemic and the need for accurate travel data to make informed decisions. Overall, the future of travel, AI, and data analytics looks promising for improving travel programs and increasing employee satisfaction.

55:05