Will Generative AI Deliver Personalisation and More for Travel Managers and Their Travellers?

About this Webinar 

This webinar features a dynamic panel discussion from the Business Travel Show, where industry leaders, including PredictX CEO, Keesup Choe, Gee Mann from Travlr ID, Kyle Redelinghuys from Visa Innovation, Scott Wylie from TripStax, and Matthew Newton from CWT share their insights on generative AI’s role in travel personalisation. These experts delve into the transformative impact of generative AI technologies, such as large language models including GPT, on various industries, with a focus on travel. It underscores AI’s capability to enhance operational efficiencies, customer engagement, and management processes, showcasing its potential to revolutionize business practices.

Key challenges associated with AI deployment are addressed, including issues related to data privacy, the necessity for proficient prompt engineering, and the unpredictability of AI outcomes. These points underscore the complexity of AI integration and highlight the critical need for meticulous model training and parameter optimization within corporate environments.

The discussion also explores the broader implications of AI on employment and industry practices, indicating that AI-enhanced workflows are poised to significantly transform job roles and elevate productivity. As AI becomes increasingly embedded in business operations, it is set to redefine professional roles and foster new opportunities for efficiency and innovation across sectors.

Agenda 

• AI Capabilities and Challenges : Exploration of AI’s predictive and generative abilities, and the implications of its output variability, emphasizing both the power and the challenges of current AI technologies.
• AI's Role in Business and Operations: Examination of how AI integrates into core business functions to enhance efficiency and data security, and discuss specific corporate applications and privacy concerns.
• Customization and Application of AI Models: Discussion of the importance of customizing AI models to meet specific use cases and showcase examples of successful implementations in various business sectors.
• Challenges of AI Implementation: Addressing the technical challenges of AI, including model selection, variability of outcomes, and the critical role of prompt engineering in achieving desired results.
• AI in the Travel Industry: Discussion AI's application in travel management, focusing on automation, customer service enhancement, and operational efficiencies.
• AI’s Broader Implications and Industry Impact: Examination of AI as a tangible interface for technology interaction, its potential to transform data management and privacy, and its evolving role across various industries.

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