Innovation strategies with an Agile Data Fabric: Data Science


Data science and machine learning are key technologies for enterprises that want to discover valuable insights from huge amounts of data.

But despite the investments of millions of dollars in analytics technologies, most enterprises still struggle to operationalize advanced analytics on a larger scale.

According to Gartner, more than 60% of the data science models developed with the intention of making them operational have never actually been operational.

Why are these investments not meeting expectations? In this webinar, we delve into today's most common data science and ML myths and offer potential solutions.


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