Everyone wants to leverage artificial intelligence effectively. So now the concept of AI-ready data is gaining prominence across academia and industry.
However, the actual content of the concept “AI-ready data” remains unclear and vague for many.
Our guide brings clarity to what AI-ready data actually means and covers the key themes around the burning topic.
Is AI-ready data limited to data quality only? Not quite. Whether we call them AI or ML systems, the complexity of their building blocks spans across infrastructure, optimisation and lifecycle, passing by security and accessibility.
Marta Rihter Data Management Consultant, Solita
Emphasising FAIR principles (findable, accessible, interoperable, reusable), AI-ready data must be clean, structured, well-labelled and accessible. Ultimately, it’s fit-for-purpose data designed to meet the specific demands of AI-driven initiatives.
Juha-Pekka Joutsenlahti Data Advisor, Solita
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