The particularity of European organizations is not a new curve but a deep reality that demonstrates their willingness to be reassured.
Executives and developers' mindsets
evolve as the technology has evolved and continue to evolve.
However, the main challenge is not the data or
its volume, but the ability to generate value from it.
Many European organizations are
still at the beginning of their journey and still don't know where to start.
Others have high ambitions and clear ideas but are slowed down by increasing ‘complexities’
and the lack of highly skilled data scientists and developers.
Self-service and autonomous
platforms bring now peace in minds addressing inter alia the lack of highly
skilled data scientists and developers.
For European organizations that
focus on applications, DigitalEcono recalls that, it is crucial to get your
infrastructure right to unlock and merge various data sources for value
creation while avoiding running out of capacity or going over budget.
It is also indispensable to
recall that, Data and analytics-focused workloads require a different
infrastructure setup than traditional applications with features such as
in-memory computing, large storage pools attached to servers, linkages to cloud
resources, and denser architectures for greater efficiency.