AI is becoming increasingly present across the hospitality industry, yet there remains a significant gap between knowing about the technology and successfully integrating it into hotel operations. For many hotels, the question is no longer “Should we adopt AI?” but rather where to begin without spreading investment too widely, adding unnecessary complexity, or making results difficult to measure.
During the session “AI Readiness in Hospitality: Simplifying the Path to Adoption” at HORECFEX VIETNAM 2026, Nguyen Tan Hai – Head of Sales at D-EDGE Hospitality Solutions – will focus on addressing this very challenge.
More than 15 years of experience in the hotel industry have given Hai a broad perspective across sales, marketing, hotel and resort operations, and distribution through OTA platforms. This background enables him to view technology not as a standalone solution, but as a tool that must be directly connected to revenue objectives, distribution strategies, and return on investment.
For hotels, AI can be applied across numerous touchpoints, from customer data analysis and content personalization to marketing optimization, room sales support, and the automation of selected operational processes. However, implementing more technology does not necessarily lead to better results. What matters is identifying the right needs, selecting suitable solutions, and understanding how prepared the business is in terms of data, people, and systems.
This is also a key value of Hai’s perspective. Rather than presenting AI as something distant or overly complex, his session focuses on simplifying the adoption journey: choosing the right use cases, setting realistic expectations, and gradually building a system that can scale according to the organization’s resources.
For hotels and resorts navigating an increasingly crowded technology landscape, this session will offer an opportunity to view AI from a more practical perspective: which technologies are genuinely necessary, which investments have the potential to deliver measurable ROI, and which steps can be implemented immediately without disrupting the entire organization.
AI adoption does not have to begin with a large-scale transformation. Sometimes, the first competitive advantage comes simply from choosing the right problem, solving it well, and allowing the results to guide the next step.