INFOGRAPHIC
Memory and storage critical
to building better AI and ML
architectures
M
icron commissioned a study
by Forrester Consulting that
highlights how hardware
architecture affects the return
on investment for Artificial Intelligence
(AI) and Machine Learning (ML)
implementations. The research identifies
the most critical factors necessary for
optimal performance of advanced AI and
ML analytics.
Although advanced analytics offer
a great deal of promise for business
transformation, most companies are
only beginning to explore the execution
challenges that complex AI and ML
models bring.
As use cases like image recognition,
speech recognition and self-automation
become more advanced, the hardware
used to train and run those models will
become increasingly important.
To better understand the gaps and
opportunities, Forrester surveyed IT and
business professionals who manage
architecture, systems and strategy for
complex data. ◊
ALTHOUGH ADVANCED ANALYTICS OFFER A GREAT
DEAL OF PROMISE FOR BUSINESS TRANSFORMATION,
MOST COMPANIES ARE ONLY BEGINNING TO EXPLORE
THE EXECUTION CHALLENGES THAT COMPLEX AI
AND ML MODELS BRING.
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Issue 10
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