Horizon 2020: Spanish Companies, Latest Trends-AI Case Studies
Important Industries: We introduce examples of AI initiatives in the infrastructure, tourism, and apparel fields.
Infrastructure: Siemens Gamesa, Axiona
Siemens Gamesa and Axiona are developing AI technology and developing failure predictions for wind power generator maintenance
Horizon 2020: IT Services-Indra, Construction-Ferro Vial
IT Services: Indra
Utilizing the EU’s R & D support framework “Horizon 2020” program.
During the demonstration test of the failure prediction solution in the maintenance management system of the construction major Ferro Vial and the railway infrastructure.
Tourism: Reservation System-Amadeus, Hotel-Room Mate Hotels
Reservation system: Amadeus
Introduce a pricing system that maximizes ticket revenue through machine learning (against LCC)
Hotel Chain: Roommate Hotels
We use AI to predict reservation cancellation. In addition to these existing cases, expectations for using AI throughout the industry, such as trend forecasting and customer service customization, are high.
Apparel: Inditex “ZARA”
The behavior of customers is converted into big data in order to turn real stores into strengths.
Work on a demonstration project that predicts customer behavior.
Table: Examples of AI utilization and initiatives of major Spanish companies
Telefonica (Communication)
Consumer insight analysis system with big data analysis of 350 million customers.
Two pillars of original AI voice assistant “AURA”.
Developing AI / big data business.
BBVA Bank (Financial)
Development of a mobile banking app with built-in chatbot and AI voice assistant with money transfer function.
We are currently experimenting with a face recognition payment system.
Indra (IT Service)
In the EU mobility utilization business, we are developing and demonstrating the maintenance management solution “Mova Traffic” of high-speed rail infrastructure.
Optimize infrastructure utilization by predicting track conditions.
Endesa (electric power)
In the country’s smart grid and renewable energy integration demonstration project, predict failure of smart grid distribution lines by machine learning.
Siemens GAMESA (RE-EN)
Use Microsoft Azure AI.
AI recognizes images taken by wind turbines and drone, detects damaged parts early, and reduces repair costs.
Repsol (energy)
Take advantage of Google Machine Learning Tools.
Reduce energy consumption at refineries and improve profitability.
Amadeus (travel reservation system)
By machine learning, set the selling price to maximize ticket revenue.
Improve customer conversion rates for online travel agencies.
Source: Created based on company websites and reports
-JETRO
https://www.jetro.go.jp/biz/areareports/special/2019/0502/4a4f3a88492e0d8a.html