Online

Is Your Data Ready for AI and HPC?

This webinar provides a practical overview of AI-ready data, data formats for HPC and AI, and LUMI AI Factory data services, highlighting how good data practices support efficient and responsible AI development in industry and research.

Learning goals

AI and HPC place increasing demands on data. An AI pilot works well with a small local dataset, but scaling it to larger volumes of data requires different formats, storage approaches, and access methods. Well-managed, well-documented, and accessible data supports data reuse, computational workflows, and the effective use of AI and computing services across research and industry. This helps organisations get more value from existing datasets while reducing the time spent finding, preparing, and reproducing data for new AI projects.

This webinar provides a practical overview of key topics, including AI-ready data, data formats for HPC and AI, and LUMI AI Factory data services that support secure and responsible access to valuable datasets for AI development. The session brings together perspectives from both data providers and data users, highlighting how data management practices influence data sharing, accessibility, and reuse.

Welcome to learn how good data practices can help you get more value from data and computing resources.

Target audience

Anyone working with data, AI, HPC, research, development and innovation (RDI), including researchers, data stewards, data managers, SMEs, startups, and innovation teams seeking to make their data AI-ready.
                                      

Agenda

  • Introduction to data management and AI-ready data
    Discover what makes data AI-ready and why good data management is critical for successful AI projects.
  • Data formats and best practices for HPC and AI
    Explore data formats and practical approaches that improve performance, scalability, and interoperability in AI and HPC workflows
  • LUMI AI Factory Dataset as a Service (LUMI AIF DaaS): restricted datasets and data provider processes
    Discover how organizations can make confidential datasets available for AI and HPC use while maintaining governance, fostering collaboration, and unlocking new value from their data.
  • AI-Ready Data in Practice: Lessons from a Real Dataset
    Using a dataset from Ekoälyä project as an example, discover how good data management practices enable AI use.
  • Q&A

This webinar builds on the AI-ready data and FAIR data management for industry self study course (https://lumi-ai-factory.github.io/data_management/) and brings practical examples from LUMI AI Factory data services, especially LUMI AI Factory Dataset as a Service  (https://lumi-ai-factory.eu/dataset-as-a-service/) for discovering, accessing, and reusing datasets in AI projects.
               
Language: English

AI and Data AnalyticsBeginner