InRule Technology announced the availability of
a new commissioned research study conducted by Forrester Consulting on
behalf of InRule that explores key myths related to effective AI
implementation that permeate today's enterprises.
According
to the study, 67% of decision-makers expect their AI/ML use cases to
increase at least slightly over the next 18 to 24 months. However,
silos, data challenges and a lack of resources stand in the way.
Forrester found that AI decision-makers see operationalizing AI as
critical to gaining essential insights about customers and markets to
improve business outcomes.
Forrester Vice President and Principal Analyst Mike Gualtieri will
join InRule as a guest speaker for a webinar that will explore the
research findings and present recommendations for how to overcome the
myths that hold enterprises back from AI success.
To
evaluate the commonly held myths that prevent enterprises from
successfully operationalizing AI, Forrester conducted an online survey
of 302 U.S.-based application development and delivery decision-makers,
as well as three, in-depth live interviews. The research also evaluated
how firms could change their perceptions of these myths in order to
operationalize AI faster and more effectively.
Key findings identified top challenges including:
- Data overload: More
than half of decision-makers surveyed say their organizations have too
much data to make collaboration efficient, hindering AI project success.
- The "black box" problem is real: 64%
of decision-makers indicated that it is "critical" or "important" for
their organization to defend or prove the efficacy of its digital
decisions. However, nearly 60% said it is challenging to do so.
- Set it and forget it: Almost
one in three organizations surveyed do not routinely monitor and
retrain their machine learning models to ensure peak performance.
The
research yielded five key recommendations that companies should
consider in order to expedite AI success. According to the study, "AI is
a critical source of industry competitiveness. The fastest path to AI
solutions is to formulate and execute a strategy to scale AI use cases
based on reality unencumbered by myths."
Download the full thought leadership paper and study results.