Scout Advisor is an innovative generative AI tool built on IBM’s watsonx platform for enhancing the recruitment process.
IBM and Sevilla FC introduced Scout Advisor, an innovative generative AI tool that Sevilla FC will use to provide their scouting team with a comprehensive, data-driven identification and evaluation of potential recruits. Built on watsonx, IBM’s AI and data platform designed for enterprises, Sevilla FC’s Scout Advisor will integrate with their existing suite of self-developed data-intensive applications.
José María del Nido Carrasco, Sevilla FC’s President, said, “We are excited to work with IBM as this project can be a game-changer for Sevilla FC and the whole Sports Industry. Our team of scouters and analysts is committed to finding the best players to support our team’s success and have worked tirelessly to build an impressive database of player reports, and now, with the support of IBM, we can utilize this asset to its full potential. This gives us a significant advantage in the player recruitment process and enable us to find the best players for our team and continue to improve our performance on the pitch. We believe that this collaboration will have a positive impact not only for Sevilla FC but for the sports industry as a whole. With this tool, Sevilla FC also demonstrates that technology is not just a goal but an intimate companion on the journey towards the future of our entity; it is part of its DNA.”
Ana Paula Assis, Chair and General Manager at IBM EMEA, said, “We are proud to collaborate with Sevilla FC to use the power of IBM watsonx generative AI to help enhance the accuracy and effectiveness of their player recruitment process. With the appropriate guardrails and governance in place, AI continues to be a game-changer for businesses across many industries looking to modernize operations. In this instance, by producing trusted and explainable insights that advance the goals of a competitive football club while transforming the work of a football scout.”
Sevilla FC’s data department worked with IBM Client Engineering Team to build Scout Advisor, leveraging watsonx’s natural language processing and foundation models to search and analyze massive amounts of information present in the club’s existing databases to evaluate potential recruits. This includes both quantitative data such as height and weight, speed, number of goals or minutes played, and qualitative unstructured data such as the textual analysis contained in their more than 200,000 scouting reports.
