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Tourism Online Academy
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Data-driven tourism: AI assistants and omnichannel insights
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Data-driven tourism: AI assistants and omnichannel insights

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Format

100% Online

Schedule

7 hours

Language

Spanish

Duration

5 weeks

Price

€0

Institution

Universidad Externado de Colombia

The course “Data-Driven Tourism: AI Assistants and Omnichannel Perspectives” is divided into two main modules that address the use of virtual assistants and the application of data analytics for strategic decision-making in the tourism industry. These modules complement each other to offer a comprehensive view of how companies can implement omnichannel technologies and improve their data-driven operations.

Important Information:

  • Applications open: Anytime
  • Priority deadline: Anytime

If you would like to enroll multiple users or need more information about this course, please contact us!

toa@ie.edu

Course content

Module 1
Construction of chatbots applied to tourism
This module introduces the use of virtual assistants (chatbots) in the tourism sector, from their creation to their integration into omnichannel platforms. Students will learn to build custom chatbots using tools such as ChatBase and Zapier, and to integrate them into websites and mobile applications to improve customer service.
Module 2
Data analysis applied to tourism
In this module, students will learn to use data analysis to improve decision-making in areas such as reservation management, inventory control, and customer experience personalization. Basic statistical techniques, sentiment analysis, and data visualization will be covered.

WHO IS THIS PROGRAM DESIGNED FOR?

This course is aimed at tourism industry professionals, technology project managers, data analysts, developers of technological solutions for tourism, and anyone interested in learning how AI and data analysis are impacting this sector.

Meet our instructors

Miguel Angel Martínez
Miguel Angel Martínez

A graduate of the Universidad Externado de Colombia, he has specialized in Legaltech, Online Dispute Resolution (ODR), and data protection. He has focused on the study of Artificial Intelligence from ethical, philosophical, and applied perspectives. He is skilled in programming with Python, Azure, and TensorFlow. He played a key role in the development and launch of ODR software projects for private-sector entities, leading the financial planning division. He has participated in capital-raising and grant-acquisition processes for startups. He holds certifications in Responsible AI Fundamentals and Generative AI Fundamentals from Microsoft, as well as in Agile Project Management. He is currently a professor in the Department of Mathematics at his alma mater, teaching courses on "Mathematics and Law" and within the "Artificial Intelligence and Law" specialization track.

Cristian Camilo Merchán
Cristian Camilo Merchán

An economist specializing in international finance, I pursued a career path in Big Data with a focus on marketing. I have over five years of experience in data analytics, working with clients across Latin America in the technology, banking, and retail sectors. I am currently the co-founder and CEO of MeasurEase, where we provide data and AI solutions for brands' marketing efforts.

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