At the European Big Data Value Forum (EBDVF) 2024 in Budapest, I presented “ExtremeXP: A New Experimentation-Driven and User-Experience Paradigm for AI and Data Analytics Processes”, contributing to one of Europe’s leading forums for data and AI innovation.
The session introduced ExtremeXP, a novel approach that redefines traditional data analytics workflows by placing experimentation and user experience at the core of the process. Instead of relying on static pipelines, the paradigm enables continuous evaluation of multiple analytics variants, automatically selecting the most accurate and fit-for-purpose outcomes based on user preferences and feedback.
By leveraging experimentation-driven learning, ExtremeXP aims to predict user requirements, build dynamic user profiles, and proactively generate tailored analytics workflows. This approach not only improves the precision and trustworthiness of insights but also shifts decision-making towards a more human-centric model, where user needs and context directly shape data-driven outcomes.
The work aligns with the broader goals of EBDVF in advancing trustworthy AI, data-driven innovation, and user-centric digital transformation across European industries.
You can find the slides of the presentation HERE