Are you ready to deploy artificial intelligence and machine learning to anticipate customer needs, build better products and accelerate digital transformation?
Before committing to these strategies, you need to ensure your company can quickly ingest and incorporate new information, structured and unstructured, in the cloud and on-prem. Otherwise, your businesses can’t rely on data as a trustworthy predictive instrument.
It’s not just a matter of aesthetics or academic best practices. Poor data access can interfere with the progress expected from skilled, trained and highly compensated data professionals. “Data scientists still spend about 80% of their time just trying to find the data that's going to help them create machine learning models,” said Wim Stoop, senior director of product marketing at the hybrid data platform provider Cloudera.
Below, learn how to assess the health of your data access regime—and how expanding access fuels better business results across industries.
By Jason Compton