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If you will ask data professionals about what is the most challenging part of their day to day work, you will likely discover their concerns around managing different aspects of data before they get to graduate to the datamodeling stage. This ensures that the data is accurate, consistent, and reliable.
Model versioning, lineage, and packaging : Can you version and reproduce models and experiments? Can you see the complete model lineage with data/models/experiments used downstream? You can define expectations about data quality, track data drift, and monitor changes in data distributions over time.
What does a modern data architecture do for your business? A modern data architecture like Data Mesh and Data Fabric aims to easily connect new data sources and accelerate development of use case specific datapipelines across on-premises, hybrid and multicloud environments.
The reason is that most teams do not have access to a robust data ecosystem for ML development. billion is lost by Fortune 500 companies because of broken datapipelines and communications. Publishing standards for data and governance of that data is either missing or very widely far from an ideal.
The reason is that most teams do not have access to a robust data ecosystem for ML development. billion is lost by Fortune 500 companies because of broken datapipelines and communications. Publishing standards for data and governance of that data is either missing or very widely far from an ideal.
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