Why companies struggle with data
The most valuable and transformative
business use cases – the ones powered by
unique insights that can only be derived
from a good data strategy – require multiple
analytics frameworks, data science tools, and
machine learning algorithms leveraging a
diverse set of common data.
It’s in these workloads that innovative
enterprises are able to unlock immense
value from their data and dominate
their industries. It’s easier said than
done, however, becau
traditional enterprise
way. Instead:
Analytic workloads ru
silos. Even newer clou
and data science too
work together.
Data is everywhere – i
clouds, and at the edg
have no practical way
apply machine learnin
their data.
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