Data is the new oil, but raw data is not valuable. It needs to be cleaned and augmented to be useful.
While everyone wants to get the most out of their data with AI, it can be slow and painful to prepare the data, train your models, and create checkpoints at scale.
This requires new technologies and collaboration between teams to go from raw data to business outcomes.
Join Markus Grau, JB Thomas, and Michael Kaspers to hear about their first-hand experience tackling these challenges.
You might be surprised where storage can enable your AI journey.