The hospitality companies scaling AI fast aren't running better pilots. They've stopped thinking in pilots at all. Read more ›
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The Skift Takeaway SKIFT DATA + AI SUMMIT 2026 How Hotels Stay Visible and Drive Bookings in an AI-First World Nick Slavin, CEO and Co-Founder, Curacity Moderated by Carolyn Kremins, President, Skift THE ARGUMENT In AI search, a hotel either appears or it doesn’t. Slavin cited research showing only 6% of hotels surface in AI […] Read more ›
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The Skift Takeaway SKIFT DATA + AI SUMMIT 2026 Does AI Know Your Hotel Exists? ANIL AGGARWAL, CEO, Milestone Inc. Moderated by Alison McCarthy THE ARGUMENT Most hotels are losing visibility in artificial intelligence search results, not because their content is thin, but because their technical infrastructure blocks AI crawlers before content is ever evaluated. […] Read more ›
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The Skift Takeaway SKIFT DATA AND AI SUMMIT 2026 Building the Booking Layer for an AI-Native Travel World Fahim Khan, SVP of Product, Travelport Moderated by Jeremy Kressman, Vice President, Skift Studio THE ARGUMENT AI has gotten good at inspiration — destinations, itineraries, hotel suggestions. Khan said the harder problem starts the moment a traveler […] Read more ›
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For Skift IDEA Awards Judge Nikita Miller, the real measure of success in travel and technology isn't the sophistication of the AI — it's the human time and judgment it gives back. Read more ›
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Many of the pressing issues in AI implementation are organizational, not technological. Read more ›
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If your AI investment is being justified internally as labor savings, this session argued you're underselling the revenue case and overselling what's possible. Read more ›
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If your AI roadmap is organized around customer-visible features, you are optimizing for the wrong signal. Read more ›
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Priceline's transparency play — show users their data, let them correct it — is a direct answer to the trust problem that has slowed AI adoption in consumer travel. Read more ›
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If you are pitching travel AI to investors, lead with cost savings you can put on the income statement, not revenue lift you can only promise — measurability is what closes the deal. Read more ›
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If your organization is still waiting for agents to mature before committing to a production deployment, the waiting period is already costing competitive ground. Read more ›
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If your AI roadmap is organized around customer-visible features, you are optimizing for the wrong signal. Read more ›
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The hard part of scaling AI isn't the technology, it's the people. Read more ›
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If your AI pilots keep stalling before production, this session argued the fix is not better models but a named owner accountable for each agent. Read more ›
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Acquiring a shiny company to boost your AI ambitions may seem appealing, but buying can sometimes set a company back. Read more ›
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What makes an offering stand out is proprietary data and operational depth that competitors can't copy. Read more ›
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Marriott is now in the third phase of its AI rollout, with conversational search the highest-profile launch coming this year. Its top data and AI exec says the harder work is rethinking the workflows underneath. Read more ›
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If you're setting your AI roadmap around build versus partner or buy, Ranganathan's framework suggests a major issue is whether the capability touches customer data and trust. Read more ›
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Most travel companies are still cataloguing AI use cases. Air Canada's chief digital officer argues that catalogue is what’s keeping their AI work narrow and shallow. Read more ›
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14.06.2026 08:12
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