How to optimize the use and exploitation of data to implement ethical and scalable AI projects?
In a world where data reigns, Data collection is no longer a problem, but the question that remains is how to build the right data pipeline as a foundation for an optimal platform for AI.
While regulatory constraints are increasing, how to guarantee a responsible AI will provide value with no black-box effect.
DreamQuark, Microsoft and NetApp share how they are working together to address these challenges.