Technology

Sub Prime AI

It's abundantly clear that the US hyperscalers are unable and unwilling to regulate themselves. Some owners are wealthier than entire EU countries and act like mini-kings, beholden to no one. Many have taken the view that it's more cost-effective to steal the IP of original authors (text, image, video, music, etc.) for use in Gen AI model training and pay to throw legal challenges at any copyright penalties. A $100 million pro-AI super PAC formed in August backed by OpenAI's president has identified its first democrat target to oust. Anti-regulation, deep-pocketed Silicon Valley interests are injecting themselves into local US contests from afar.

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Catching Up with The Hotel Folk: Guests, Growth, and Insights

It’s hard to believe it’s been four years since we interviewed David Scott, Chief Executive at The Hotel Folk for a case study on how the group use GuestRevu. Back in 2021, the world was just beginning to emerge from the worst of COVID. Travel was slowly finding its rhythm again, and hotels were learning how to welcome back both loyal and new guests whose expectations had shifted almost overnight.

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Open, People-First AI for Hospitality

The debate over proprietary vs. open AI is a symptom of a deeper issue: whether hospitality is willing to collaborate to truly move forward together. At Alliants, the path is open—not about building walled gardens. Distrust of tech vendors has pushed many large hotel brands to build in-house, often because people weren"t listening to one another openly. Innovation rarely happens in a closed room.

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Clean Data and Good Governance: The Real Foundation for Using Gen AI in Hospitality

Overall, there is no difference between preparing a dataset for AI and preparing a dataset for the myriads of other tech tools and business uses. By AI here, we mean Generative (Gen) AI-next-best-word, probability & correlation-based tools. Traditional analytical tools need normalised data (third normal form etc.) using Structured Query Language (SQL) with potential ambiguities removed in the design. Gen AI is useful to analyse text documents which are, by definition, unstructured, but it still acts as a glorified "word cloud" linking items together by frequency and probability. The main hospitality systems - PMS, POS, Spa, RMS, CRS, CRM - were built on normalized databases precisely to prevent mismatches, duplication, and gaps. Even then, duplicate guest profiles remain common, eg when a frequent guest changes email or surname. The better PMSes use fuzzy matching to ease de-duplication, but this remains a governance issue.

The Data Challenge: No Shortcuts to Quality or Value

It so happens I have a deep background on this topic. Over almost a decade, I deployed enterprise-level customer data consolidation for many of the world's leading luxury brands. In this capacity, developing the methodology and guiding execution of this specific desired outcome scores of times. The process always begins with the standardization of data and the rollout of those standards, followed by the cleanup of information sets once the standards are in place. Only after that point is true consolidation a reality.