CA | ES | EN

THE PERIOD FOR SUBMITTING APPLICATIONS IT’S OVER

This Call for Projects aims at organizations that develop AI and Big Data technologies and solutions with a strong innovation level and that can demonstrate their impact.

We are looking for distinctive projects and success stories that will be relevant to the topics defined for this edition. Good luck to all the participants!

For further questions, please contact events@eurecat.org

Which type of projects are we looking for?

Innovative, successful use cases where Data and/or AI  based technologies role is paramount. We’d like to receive projects applied to any relevant business sector with results validated in an operational context. We’d like to know also which challenges faced the project and how they were met.

This year’s program will cover the following subjects. Which do you think your project fits best?

STRATEGY AND TRENDS

Despite the great popularity of AI, today only 8% of companies have implemented it in their processes and decision-making. This session will reflect on the main changes that a company must face to successfully adopt and implement AI by identifying good practices and real examples.

Professionals involved in using AI in a business context pose several challenges. First is its scarcity and second is the retention of a highly technical profile with specific perspectives and objectives. The challenges that will be analysed in this session include how to identify and acquire talent, what strategies to follow and how to manage multidisciplinary AI teams.

This session will present several examples of successful proofs of concept from a sectoral perspective that will show us first-hand the latest applications and trends in the following sectors: agri-food, energy and sustainability, health and well-being, mobility, Industry 4.0, education, the cultural and creative industries and language.

TECHNOLOGY & DEVELOPMENT

The Technology and Development's sessions are addressed to a technical profile.

Over the course of the last decade, both Deep Learning and Reinforcement Learning have shown the ability to achieve very high results and performance in specific applications, representing a major qualitative leap for AI. This session aims to review the applications of both techniques in real cases, evaluating their impact, implementation and performance in specific situations.

Cognitive robotics includes the design and use of robots with human intelligence such as perception, motor control and high-level cognition and there are several disciplines working in this field. This session will delve into the concept of cognitive robotics, its impact and associated challenges, as well as the current state of development and advantages over classical robotics.

The interpretation and understanding of black box models confers many advantages for knowing about and conceptualising applications. What are the most effective techniques today? What challenges or limitations do they pose? These are some of the issues that the session will cover, where we will analyse the situation of a field that will undoubtedly become crucial in the years to come.

CANDIDATURE SELECTION PROCESS:

Open the period to present candidacies

The period to present candidacies ended on Sunday, May 9 2021.

THE PROGRAM COMMITEE REVIEW CANDIDATURES

A committee of experts will review all candidatures received and will select the proposals that best fits with the subjects proposed, setting before,  innovation, novelty and the impact on the economy of data.

CONFIRMATION OF SELECTION

At the beginning of June 2021 we will communicate which candidates have been selected to participate in the congress.