How Accor Is Integrating Gen AI Into Its Tech Architecture
Group Chief Technology Architect Khang Trieu on Data Quality, Legacy Systems and AI Ethics
As companies increasingly adopt AI to streamline operations and enhance decision-making, they must address the critical issues of data quality and governance. Integrating generative AI with all company knowledge might seem straightforward, but it will only be "as good as the quality of the data at the source," said Khang Nguyen Trieu, group chief technology architect, Accor. He discussed how the company is readying its underlying technology architecture for gen AI implementation.
Addressing legacy systems presents another significant challenge. Nguyen Trieu explained how reconciling data from various legacy systems and ensuring a single source of truth is essential for seamless integration. Accor's previous investments in big data provided a solid foundation for AI implementation, he said.
"If, in your company, you have 20-50 different documents talking about the same topic, but you don't know which one is the source of truth, gen AI will have a hard time building its knowledge," he said. "The complexity with the legacy systems is the pile of data, knowledge and documentation that have come across for years and at some point, companies will need to rethink about how to clear that out."
In this video interview with Information Security Media Group, Nguyen Trieu also discussed:
- The importance of cross-functional collaboration in AI implementation projects;
- The use of open-source frameworks to ensure ethical AI practices;
- The potential effects of gen AI on knowledge management and decision-making within organizations.
At Accor, Nguyen Trieu is responsible for the strategic technology road map and oversight of the enterprise architecture. He has a leadership experience of more than 20 years in the technology sector at major companies such as Capgemini and SNCF Connect & Tech.
