www.tokiota.com | @tokiota_IT
LinkedIN

Alfons Martinez is a computer engineer from the Universidad Autónoma de Barcelona. He has extensive experience of over 19 years in consulting, executing projects in various sectors (industry, banking, insurance, health) and for different types of clients in the field of software development, IoT, data, and AI. He is always driven by the desire to find the best way to leverage data.

Additionally, Alfons Martinez holds a PDD degree from IESE and serves as an innovation professor in the Digital Transformation module at the EAE Business School.

Among his current responsibilities, he is involved in creating the Data & Artificial Intelligence service portfolio and helping clients make the most of emerging technologies that constantly appear in the market.

The emergence of OpenAI is causing a revolution. It is a topic widely discussed worldwide, yet there is a limited discussion on real-life cases where processes are enhanced, employees’ lives are made easier, or unimaginable data insights are obtained. At Tokiota, we are dedicated to assisting our clients in securely adopting Azure OpenAI, leveraging their own organizational data, and enhancing processes while increasing productivity. During the session, we will share insights on our approach, the architecture we employ, as well as two real-life case studies—one involving a Call Center and another featuring an automatic budgeting system.

www.quantion.com

Daniel Cardelús earned a degree in Computer Engineering from the Open University of Catalonia and in Geology from the University of Barcelona. With over 20 years of experience, he has developed projects in the field of Data Science, IoT, and Data Analytics. Prior to joining Quantion, he worked at Veolia Spain as a Data Product Manager, where he led multidisciplinary teams to develop new digital products based on AI, IoT, Geo, and Analytics. Among his current responsibilities as Chief Data Officer at Quantion, he stands out for generating products and services using data and artificial intelligence services.

The increasing demand for complex invasive medical procedures, due to the rise of oncological and cardiovascular diseases, faces challenges such as high mortality rates and severe complications. Despite recent innovations like robotics and AI, these have not surpassed traditional surgery. In response, the Hospital Clinic of Barcelona and Quantion have launched the ULYSSES project, aiming to develop a digital tool that provides expert support in complex surgeries through danger zone detection, powered by AI and Big Data analysis. This tool, fed by clinical data, will allow constant human interaction and an ever-evolving AI system.

www.cidai.eu | @CIDAI_eu

A physicist and anthropologist by training, in her professional career she has worked as a consultant on digital transformation projects in several consultancy firms, most notably RocaSalvatella. She has also worked for SMEs and large companies in various technology sectors, both in Spain and abroad.

Five years ago, she specialised in the field of data technologies and artificial intelligence, working first as a project manager and later as a business developer.

She is currently involved in business development for CIDAI, promoting the adoption of AI technologies among all the agents of the Catalan economic fabric.