Artificial intelligence is a cross-cutting tool available to people that will bring about a transformation in professional groups.
From CIDA and, in collaboration with the Regional Ministry of Innovation, Universities, Science and Digital Society together with the Teacher Training Service, we have organised this "1st conference on artificial intelligence in vocational training" to bring teachers closer to this technology that is increasingly changing the production fabric and all professional sectors in the Valencian Community.
The main objective of the action is to introduce to the knowledge and use of artificial intelligence by all teachers of the different professional groups of our Valencian VET. These teachers will discover the capabilities that can be found in it and will transfer to the students the enthusiasm and motivation to apply AI in their professional sector.
The conference will be a learning experience based on experimentation, it will be held online and will include the participation of speakers and leading companies in the implementation and development of AI technology that will try to convey to teachers its tremendous usefulness through practical workshops, as well as examples of use cases in various professional fields.
- To awaken the motivation of teachers of all professional families for artificial intelligence (AI).
- To understand what makes AI so potentially transformative.
- To showcase success/use cases in different professional groups.
- To develop practical sessions to consolidate ideas and enable the creation of future projects appropriate to each professional group.
- Creation of a cluster of multidisciplinary AI-related projects.
- AI as a transformative lever for all industries.
- The power of machine vision on AWS.
- AI and deep learning: where do I start?
- Case studies of how AI is being used in the enterprise.
- Workshop on classifying wines according to quality with AI.
Friday, March 26, 2021
Software has been a tidal wave that has transformed the economy and countless industries. Artificial intelligence is a cross-cutting technology that gives computers predictive, perceptual and soon-to-act capabilities that promise to be a tsunami capable of reaching even where conventional software has been unable to go.
You will come away from this talk understanding what makes artificial intelligence so potentially transformative.
Andrés Torrubia is a serial entrepreneur and co-founder of the Artificial Intelligence Institute, Medbravo and Fixr. He has won several artificial intelligence challenges worldwide, from autonomous driving to quantum chemistry parameter prediction. You can follow him on twitter @antor and his Podcast: Software 2.0
Workshop with Amazon Rekognition: "The Power of Machine Vision on AWS".
Machine vision enables machines to identify people, places and objects in images with accuracy equivalent to or greater than human capability and with greater speed and efficiency. This technology, often built on deep learning models, automates the extraction, analysis, classification and understanding of useful information from a single image or a sequence of images. Image data can be in a variety of formats, such as single images, video sequences, multi-camera visualisations or three-dimensional data.
Amazon Rekognition makes it fast and easy to add deep learning-based image classification and visual search capabilities to your applications.
Joan Bonilla, Public Sector Solutions Architect in Iberia for Amazon Web Services. In AWS for 1 year and passionate software developer of scalable and distributed architectures. Helping customers to adopt the cloud in areas such as artificial intelligence and machine learning and always promoting the 5 pillars of a good cloud architecture: operational excellence, security, resilience, efficiency and cost optimisation.
Workshop: "AI and deep learning: where do I start?".
Deep learning is an artificial intelligence technique inspired by the workings of the brain that has applications as diverse as machine vision, speech recognition, molecular biology and drug design. It drives everyday technologies such as voice assistants and language translators, and others as disruptive as protein folding prediction.
We will see what resources are available to get started in deep learning and we will understand how this fascinating technology works at a high level by training a neural network for a practical purpose: to create a class photo automatically from photos uploaded to Aules by students.
Javier Martín is a computer engineer and computer science teacher at the IES nº1 Libertas Secondary School in Torrevieja. He is currently ranked 220th in the world ranking of Kaggle competitors and has won prizes in artificial intelligence and deep learning competitions on radiological diagnosis, disease detection in crops and prediction of academic results. You can follow him at @info_llibertas.
Saturday, March 27, 2021
Education professionals face the challenge of integrating into the education system the skills and benefits that training in data literacy and artificial intelligence can bring. In the session, we will discuss how to generate interest in two different student profiles: those with a career vocation that can clearly converge with specific training and those who, by choosing other routes (e.g. training in tourism), can take advantage of a knowledge of data and analytics that will be in demand in the labour market for any sector. To this end, we will explain from why it is important to know how to display and interpret data to how Spotify's algorithms work with the musical tastes of Game of Thrones characters (and lose the "fear" of the supposed complexity of AI).
Finally, we will focus on the special importance of attracting female profiles in this type of training to boost the presence of gender in a field with a growing economic and labour market impact.
Mayte Hidalgo holds a Master of Science degree from Northwestern University and a Bachelor of Science degree in Information Science from the Complutense University of Madrid.
She is currently responsible for AI Strategy and AI Ethics at Everis, and collaborates with the Instituto de Empresa as a professor of the Executive Programme in Big Data and Artificial Intelligence, where she teaches AI Ethics and coaches students in the executive programme on their final projects. She also teaches Human Machine Interaction in the Master in AI and Machine Learning at the University of Alcalá de Henares.
"Artificial Intelligence today, realities".
Real use cases of the application of artificial intelligence, and how they are transforming some traditional processes.
Alejandro Delgado Sánchez is responsible for technical strategy and solutions based on artificial intelligence and artificial and cloud computing at IBM for clients in the telecommunications industry. He is a member of the Technical Expert Council of IBM Spain, Portugal, Greece and Israel and Technical Ambassador of the Polytechnic University of Madrid at IBM.
"The value of images: what machine vision can bring to business processes".
Discover how the latest advances in artificial intelligence can help, through the use of images, to evolve and automate processes in different markets, until now exclusive to people.
Alejandro Delgado Serrano is a consultant in artificial intelligence at Minsait by Indra and is passionate about new technologies. He has been part of the Machine Vision team at Minsait for five years and has been involved in the growing impact of artificial intelligence technologies on business and customer needs for the automation, monitoring and specialisation of processes that were unthinkable until recently.
Workshop: "Example of the application of Machine Learning: Understanding and training of a model to classify wines according to their quality".
Artificial intelligence is a tool that can be applied in various fields, from health to economics, from electronics to commerce, among others. Within AI, machine learning is the most common field of application in the enterprise. For this reason, this workshop will show a practical case of wine classification. Through this example we will see how to analyse and understand the data presented to us, and the processing they need, in order to subsequently train a machine learning model. We will use both an idyllic dataset and another with a specific problem, such as the lack of data.
Eva Deltor studies Industrial Electronic Engineering at the Polytechnic University of Catalonia (UPC). She started in the world of artificial intelligence in 2019. In parallel to university, she works as a data scientist for the company Connecthink in areas such as machine learning, artificial vision and natural language.