AI‑ready data and FAIR data management for industry

AI systems are only as effective as the data behind them. Poorly managed data leads to higher costs, slower development, unreliable results, and missed opportunities for reuse. Well-managed data enables trustworthy AI, efficient HPC workflows, and better business outcomes.

In this course, you will learn how to manage data throughout its lifecycle to support industrial AI and high-performance computing (HPC). You will discover what makes data AI-ready, how FAIR principles support scalability and reuse, and how practical data management improves collaboration, automation, and long-term value creation.

What you will learn:

• Why data management is a critical foundation for successful AI and HPC
• What AI-ready data looks like in practice
• How FAIR principles support industrial data use and reuse
• How to manage data across its lifecycle, from planning to long-term preservation
• Which tools and approaches improve discoverability, interoperability, and automation
• How good data management translates into business value