Actionable insights are
what today's organizations are
looking for. More than ever,
they need someone who can
work with data quickly and
operationalize their findings.
From practitioner to manager
to executive, risk and claims
professionals now have an
opportunity to provide enterprise-
level value by spending less time
collecting information and more
time finding answers.
The approach to data analysis
has become more agile,
self-servicing, and intuitive.
Advancements in technology have
led to analytical tools that let the
business practitioner do the data
exploration themselves.
INTRODUCING ARTIFICIAL
INTELLIGENCE
Today's analytics technology
relies on artificial intelligence,
or AI, to "make sense" of the
exponentially growing volume
of data being processed. AI
refers to technology that goes
beyond programmed, repetitive
actions and, instead, adapts to
different, changing situations.
In practice, advanced analytics
applications—like Ventiv
Analytics—use AI to let users
perform tasks like exploring data
using natural language. In other
words, any user—from analyst to
manager to executive—can ask
critical business questions and
find the answers themselves by
typing in questions just as if they
were using Google or Siri.
the power of data and analytics—today
the power of data and analytics—today
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