The travel industry is on the cusp of a significant growth inflection, driven by a powerful convergence of advanced data infrastructure, sophisticated applied artificial intelligence (AI), and a laser focus on commercial precision. To navigate and capitalize on this transformative era, key industry leaders—the architects of this future—are set to convene at the highly anticipated Skift Data + AI Summit. This pivotal event promises to bring together the brightest minds, from operational titans to cutting-edge technologists and strategic capital allocators, who are actively shaping the travel industry’s intelligent enterprise. The initial roster of confirmed speakers offers a compelling glimpse into the areas where substantial investment, groundbreaking experimentation, and tangible enterprise value creation are currently taking place, signaling a seismic shift in how travel businesses will operate and thrive in the years to come. Enterprise-Scale AI in Action: Driving Transformation Across Global Platforms At the forefront of this evolution are leaders who are not only modernizing complex legacy systems but are also embedding AI deeply into customer journeys across vast global networks. The Skift Data + AI Summit will feature insights from individuals like David Thompson, Chief Information Technology Officer at American Express Global Business Travel, and Shilpa Ranganathan, Chief Product Officer at Expedia Group. These executives are at the helm of platforms that handle immense volumes of data and customer interactions daily. Their presentations will delve into the intricate orchestration required for success in an AI-first world, covering critical areas such as the strategic management of data lakes, the implementation of robust governance frameworks, the development of sophisticated personalization engines, and the imperative of maintaining margin discipline. The impact of these initiatives is not abstract; it is measured in tangible improvements, from fractional basis point gains in efficiency to significant boosts in booking flow and revenue. This focus on enterprise-scale AI underscores a commitment to leveraging technology for quantifiable business outcomes, moving beyond theoretical applications to real-world operational advantages. The journey to enterprise-scale AI is multifaceted. It involves breaking down data silos, ensuring data quality and accessibility, and building the technical infrastructure that can support complex AI models. For companies like American Express Global Business Travel, which manages the intricate needs of corporate travelers, AI plays a crucial role in optimizing itineraries, managing expenses, and enhancing duty of care. The ability to analyze vast datasets of travel patterns, preferences, and disruptions allows for proactive solutions and a more seamless experience. Similarly, Expedia Group, a global leader in online travel, utilizes AI to personalize search results, recommend destinations and accommodations, and streamline the booking process for millions of consumers. The challenge lies in scaling these AI capabilities while maintaining data privacy and security, and ensuring that the AI systems are ethical and unbiased. Discussions at the summit will likely explore the practical challenges of deploying AI at scale, including the integration of AI into existing workflows, the training of staff, and the ongoing monitoring and refinement of AI models. The emphasis on "enterprise-scale" signifies a move beyond pilot projects and niche applications to the widespread integration of AI across an entire organization’s operations and customer touchpoints. Platform Innovation and Hospitality Infrastructure: The Rise of Unified Commerce and Intelligent Automation The hospitality sector, alongside tour operations, is increasingly embracing a vision of unified commerce and the development of API-first ecosystems. This strategic shift is paving the way for intelligent automation across both property management and distribution layers. Speakers such as Richard Valtr, CEO of Mews, and Jie Zheng, Technology Team Lead at TUI Group, will bring invaluable perspectives from their experiences leading SaaS-native models and managing complex multinational travel operations. Their insights will illuminate how data fluency is becoming a critical driver of operational leverage, enabling businesses to optimize resource allocation, enhance guest experiences, and streamline backend processes. The move towards unified commerce means creating a seamless, integrated experience for customers across all channels and touchpoints, from initial search and booking to check-in, in-stay services, and post-stay engagement. This requires a robust data infrastructure that can connect disparate systems and provide a single, comprehensive view of the customer. The concept of "hospitality infrastructure" is evolving rapidly. No longer confined to traditional property management systems, it now encompasses a broader ecosystem of technologies that enable dynamic pricing, personalized offers, efficient staff management, and seamless integration with third-party services. API-first approaches are central to this evolution, allowing for greater flexibility and interoperability between different software solutions. This modular approach enables hotels and tour operators to pick and choose the best-in-breed technologies to meet their specific needs, rather than being locked into monolithic systems. For companies like Mews, which offers a cloud-based property management system designed for modern hotels, the focus is on building a platform that is inherently data-driven and adaptable. Similarly, TUI Group, a global travel and tourism company, relies heavily on sophisticated technology to manage its diverse portfolio of airlines, hotels, cruise ships, and tour operations. The ability to leverage data effectively across these different business units is crucial for delivering consistent and high-quality experiences to millions of travelers. The summit will provide a platform for these leaders to share their strategies for building and managing these complex, data-intensive ecosystems, with a particular focus on how intelligent automation can drive efficiency and innovation. Capital, Advisory, and the Investment Lens: Navigating the Financial Landscape of Travel AI The intersection of venture capital, enterprise procurement cycles, and evolving consumer behavior is where the true potential of AI in the travel sector is being realized. Discussions at the Skift Data + AI Summit will extend beyond mere technology discussions to encompass critical considerations of defensibility, valuation, and the identification of the next significant platform inflection point. Leaders like Gilad Berenstein, Founder of Brook Bay Capital, and Vivek Bhogaraju, an esteemed Industry Advisor, will offer crucial perspectives on the financial underpinnings of travel AI. Their insights will be invaluable for understanding how investment is flowing into the sector, what metrics are driving valuations, and what strategic moves will position companies for long-term success in a rapidly changing market. This involves understanding not just the technological capabilities of AI solutions but also their market potential, competitive advantages, and the underlying business models that support them. Venture capital plays a vital role in funding the innovation that drives the travel tech landscape. Investors are looking for companies that can demonstrate not only a strong technological foundation but also a clear path to profitability and scalability. This often means identifying companies that are solving real problems for businesses and consumers, and that have a sustainable competitive advantage. Enterprise procurement cycles, on the other hand, can be notoriously long and complex, especially for large travel organizations. Companies seeking to sell AI solutions to these enterprises must understand the procurement process, demonstrate clear ROI, and build strong relationships with key stakeholders. Finally, evolving consumer behavior is a constant force shaping the industry. As travelers become more digitally savvy and expect personalized, seamless experiences, AI solutions that can meet these demands are likely to see increased adoption. The summit will provide a forum for discussing how these different forces interact and how companies can strategically position themselves to capitalize on the opportunities that arise from this dynamic interplay. The focus on "defensibility" highlights the importance of building sustainable competitive advantages, whether through proprietary data, unique algorithms, or strong network effects. Understanding "valuation" is crucial for both startups seeking funding and established companies looking to invest or acquire. And identifying the "next platform inflection point" means anticipating future trends and positioning the business to be at the forefront of innovation. Built for Decision-Makers Like You: A Focused Agenda for Strategic Leaders The Skift Data + AI Summit is meticulously crafted to serve the needs of senior decision-makers who are directly responsible for shaping the future of their organizations. The summit is specifically designed for individuals who own the roadmap, drive revenue, or manage critical infrastructure within the travel sector. The agenda is deliberately calibrated to deliver actionable insights, focusing on applied use cases, demonstrable commercial outcomes, and the development of scalable architecture. Attendees will gain valuable perspectives relevant to a wide spectrum of the travel ecosystem, including airlines, hotels, Online Travel Agencies (OTAs), corporate travel management companies, and a broad array of travel technology providers. The summit aims to move beyond theoretical discussions to practical, implementable strategies. Attendees can expect to encounter practical frameworks that can be applied directly to their businesses, facilitating peer benchmarking against industry leaders and engaging in candid discussions about crucial topics such as Return on Investment (ROI), the complexities of vendor selection, the strategic imperative of talent acquisition and development in AI-related fields, and the critical build-versus-buy decisions that many organizations face. This direct, no-nonsense approach ensures that participants leave with a clear understanding of how to leverage data and AI to achieve measurable business results. The emphasis on "applied use cases" means that the content will be grounded in real-world examples of how AI is being successfully deployed in the travel industry today. "Commercial outcomes" underscore the focus on tangible business benefits, such as increased revenue, reduced costs, and improved customer satisfaction. "Scalable architecture" addresses the need for robust and adaptable technological foundations that can support future growth and innovation. The summit’s curated environment, with its limited and senior-level attendance, fosters an atmosphere of focused learning and high-value networking. This exclusivity ensures that discussions remain relevant and productive, allowing participants to connect with peers who face similar challenges and opportunities. Register Now: Secure Your Place at the Forefront of Travel Innovation The opportunity to join the leading minds in travel’s data-driven future is now. The Skift Data + AI Summit, scheduled for June 3rd in New York City, offers a unique platform for learning, networking, and strategic planning. It is imperative to note that pricing for the event is tiered and subject to increases. Prices will increase on April 1, 2026, with further price adjustments occurring on May 15, 2026. This tiered pricing structure encourages early registration, allowing attendees to secure their participation at the most advantageous rates. For organizations that may have tentative plans or require flexibility, the option to reassign tickets later provides a valuable safeguard. Furthermore, for those requiring invoicing or alternative payment methods such as wire transfers, the dedicated events team at [email protected] is readily available to assist. The summit offers distinct ticketing options to accommodate various attendee needs. Group tickets provide a cost-effective solution for teams attending together, encouraging collaborative learning and shared strategic development. The current advanced pricing for group tickets is $715. This will transition to standard pricing of $805 on April 2, 2026, and will reach full price at $895 from May 15, 2026. For individual attendees, a solo ticket is available. The current advanced pricing for solo tickets is $795. This will increase to standard pricing of $895 on April 2, 2026, and will reach its full price of $995 from May 15, 2026. These pricing timelines are designed to reward early commitment and ensure that participants can plan their attendance effectively. By securing a seat at the Skift Data + AI Summit, individuals and organizations will gain unparalleled access to the insights, strategies, and connections necessary to thrive in the increasingly data-centric and AI-powered landscape of the global travel industry. This is not merely an event; it is an investment in the future of travel. Post navigation Aven Hospitality Integrates Model Context Protocol (MCP) to Revolutionize Hotel Booking and AI Agent Interaction. The Travel Industry is Betting Billions on AI Agents, But Travelers Remain Skeptical, Raising Crucial Questions of Trust and Liability.
