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Zartico secures $20M to help tourism offices promote local destinations

TechCrunch

Despite representing 10% of the world’s GDP, the tourism industry has been one of the last to embrace big data and analytics. from customer relationship management systems and jobs boards). ” Zartico launched in March 2020 — one week prior to most of the world shutting down due to the COVID-19 pandemic. or to places.”

Tourism 240
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Occupancy Rate Prediction: Building an ML Module to Analyze One of the Main Hospitality KPIs

Altexsoft

economic changes, events (sports competitions, concerts, conferences), exchange rates, political situations, and. To determine when occupancy will be higher and when lower and what prices should be considered for a given period, you can take advantage of machine learning powered by data. Internal factors include. Data sources.

Hotels 52
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ChatGPT Implementation in Travel: Unleashing the Potential of GPT Models in Real-World Projects

Altexsoft

Large language models and transformers in a nutshell Language models , types of machine learning models, are trained to anticipate the likelihood of a word sequence. They predict the next appropriate word based on text context, essentially learning how humans use language. Attention and self-attention mechanisms.

ChatGPT 52