How Hyatt is Personalizing the Guest Experience with GenAI

How Hyatt is Personalizing the Guest Experience with GenAI

Author: Brave Software March 19, 2025 Duration: 19:07

Rooshana Purnyn, Director of Data Architecture and Platform Engineering at Hyatt, discusses the potential of Generative AI in the hospitality sector, and how Hyatt is integrating AI to enhance guest experiences in their 1300 properties worldwide. She also emphasizes the need for balancing technology with human interaction, and fostering a culture of continuous learning within her team.

Key Takeaways:

  • How AI is used to understand, anticipate, and enhance the unique needs and travel habits of each guest.

  • How Hyatt leverages AI to deliver seamless, highly personalized guest experiences across its 1,300 worldwide properties.

  • The critical role of robust data architecture and pipeline design in supporting hospitality analytics.

  • How a culture of innovation and a growth mindset drive the recruitment and development of Hyatt's teams.

Guest Bio: Rooshana Purnyn is an innovative and strategic technology leader with extensive experience across the hospitality, healthcare, retail, finance, and marketing sectors. With over a decade of expertise in data and analytics, Rooshana serves as the Director of Data Architecture and Platform Engineering at Hyatt, where she is celebrated for designing, building, and managing large-scale, cutting-edge technology platforms that support data-driven decision making. A visionary in leveraging technology for business growth, Rooshana led the development of an advanced analytics platform optimized for AI/ML and generative AI workloads, enabling real-time data processing and supporting algorithmic product development to drive revenue and customer engagement.

In her role, Rooshana has overseen the deployment of secure, globally accessible analytics applications, including the implementation of an AI-powered self-service analytics tool that empowers stakeholders with data insights. Her work in the AI/ML and generative AI space includes establishing scalable infrastructure and pipelines for machine learning operations (MLOps), allowing for seamless deployment of personalized customer experiences. Rooshana's commitment to innovation keeps her at the forefront of industry trends, while her customer-focused and data-centric approach consistently drives value and growth.

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