Artificial intelligence and open data

Although it may seem like a novel concept, the term 'artificial intelligence' was already coined in the mid-twentieth century. However, its popularity has experienced a vertiginous increase in recent years thanks to the increase in data volumes or the application of advanced algorithms in everyday situations, among other aspects.

Artificial intelligence allows machines to learn from experience to perform various tasks in a human-like manner. To do so, its training techniques often rely on deep learning and natural language processing (NLP), among others. By employing these technologies in the service of AI, machines can be trained to carry out very specific tasks such as processing large amounts of data or pattern recognition in them.

What is artificial intelligence?

The European Commission defines artificial intelligence as the ability of a machine to imitate some of the characteristics of human intelligence such as learning, reasoning or creativity. To do so, computers analyze available information in order to achieve specific objectives.

Artificial intelligence is also composed of subfields based on technologies such as Machine Learning or Deep Learning. Both activities aim to build systems that have the ability to solve problems without the need for human intervention.

What is the role of open data in artificial intelligence?

To ensure the proper development of artificial intelligence, open data is extremely important. This is because its algorithms must be trained with high-quality data that is readily available, as reflected in various state and European-level strategies and guidelines such as the National Artificial Intelligence Strategy, the European Regulation on Artificial Intelligence, and the White Paper on Artificial Intelligence.

Examples of use cases of artificial intelligence

The application of artificial intelligence allows many fields to achieve improvements in various processes, services, or applications. Some examples are:

• Health: AI allows for the identification of different pathologies through the processing of medical images, for example, through QMenta, which processes and visualizes images to perform analysis of brain data.
• Environment: AI allows for more efficient forest management. An example is Forecast, which offers tools for decision-making by forest managers.
• Economy: AI is used to optimize the management of tenders, as with the Arbatro Tender tool, designed to find and choose the most suitable public tenders for each company.
• Tourism: AI allows for the development of virtual tourism assistants like Castilla y León Gurú, which features advanced NLP functions, detection of points of interest in images, and use of geolocated context.
• Culture: thanks to AI, it is possible to generate original texts and summaries of existing ones through natural language processing. MarIA has been the first Spanish-language artificial intelligence to achieve this.
• Advertising and content writing: AI systems such as Chat GPT allow for the development of texts based on specific requests.

As we can see, there are a multitude of use cases that combine artificial intelligence and open data to contribute to the progress and well-being of society. We recommend that you check out this informative infographic where we provide more details, as well as some interesting articles like this one on Dall-E so that you can expand your knowledge.

Moreover, if you want to learn more about related use cases, discover the report "Emerging Technologies and Open Data: Artificial Intelligence," which includes a practical step-by-step case study on image recognition and classification.

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