How do you operationalize data science models when the right data is distributed across the organization in hybrid or multi-cloud data architectures?

 

In today’s complicated infrastructure with multi-cloud deployments blended with on-prem data centers, data scientists need more help than before to access the right data at the right time to show the power of the Machine Learning Models.

 

This talk will address the current challenges and solutions in operationalizing data science models in the fast changing world.