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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If your distribution strategy still treats AI agents as a channel you can wait out, this debate argued the discoverability question is already live. Read more ›
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A live AI tool with early conversion gains is one Hilton story. The cost of running AI across the wider company is another. Read more ›
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Cruise and aviation are already converting AI into revenue, while lodging's consumer-facing layer, including Marriott's own conversational search, is still arriving. Read more ›
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The Skift Takeaway SKIFT DATA + AI SUMMIT 2026 The Stack You Have Won’t Scale What You’re Building Michael Leidinger, SVP & Chief Information Officer, HiltonFiras Al Osman, Chief Digital Officer, Air Canada Moderated by Sean O’Neill, Senior Hospitality Editor, Skift THE ARGUMENT Both executives said the AI conversation skips the hard part: the foundation […] Read more ›
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Travel companies have built a banking-like float system around consumer prepayments, without banking-like protections, and the scale is now too large to ignore. Read more ›
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After two days of relative normalcy, this is a devastating blow to a hub that has spent months clawing its way back. Read more ›
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21.07.2026 18:30
Last update: 18:25 EDT.
News rating updated: 01:20.
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