AI Readiness for Hotels & Restaurants: The Data Problem

Monday, 12 October 2026 by
hospitality ai data problem
Most hotel and restaurant groups I talk to are now thinking seriously about how to roll AI out into their businesses, hoping to reap the immense benefits that it promises. Some have already started the process. However, very few have checked whether their current data architecture can actually support their ambitions, and that gap is
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Freelancer Onboarding for Creative Agencies

Thursday, 23 July 2026 by
freelancer onboarding creative agency
Creative agencies are built on flexible talent. They lean on freelancers and contractors for motion, 3D, specialist channels, language variants, and the kind of narrow expertise that doesn’t always justify permanent headcount. This flexibility is commercially useful, but it can collide with best practice access and identity models which tend to have been designed for
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Turning MSP reporting into a resilience dashboard: What your board needs to see 

Monday, 06 July 2026 by
managed it operational resilience board it support reporting
Boards are exposed to far more information technology data than they used to be. That has, however, not necessarily improved their ability to manage risk. A monthly support pack can be full of charts and service language yet leave the board with no real feel for how near the organization came to a crisis: a
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If Your CEO Still Won’t Use AI, You’re Already Behind

Wednesday, 24 June 2026 by
if ceo still not using ai you are already behind
I am old enough to remember the days when (some) CEOs treated their PC and email as administrative clutter rather than as part of the job. They could still run a business, command a room and make the big calls, but there was always something slightly unreal about it because the machinery of the company
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Why IT projects (usually) end in failure

Thursday, 26 May 2022 by
Cardonet IT Services Why IT Projects Fail
If you are finding that your IT projects seem destined for failure, don’t worry – you’re not alone.  According to a Harvard Business Review study, the average IT project runs 27% over budget. That’s not even the most frightening part: one in six ends up costing more than double the initial budget, as well as taking 70% more time than anticipated.
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