How Democratized Artificial Intelligence Can Move Manufacturing to a New Evolution Pace
context of the machine, as Tesla is doing
with the fully autonomous car or Oracle
are doing with the fully autonomous
databases system. Software vendors
such as Oracle with its 18C and cloud-
based autonomous solutions – as well as
many other software vendors – are
building fully autonomous software
solutions to store and manage data
across a broad spectrum of use cases.
This system is providing an unmatched
reliability and performance at half the
cost of classical systems; no human
labor, database automatically upgrades,
patches and it tunes itself while running;
automates security updates with no
downtime window required; no human
error; a Service-Level Agreement (SLA)
guarantees 99.995% reliability and
availability, which minimizes costly
planned and unplanned downtime; no
manual performance tuning; databases
consume less storage because of
machine learning and automatic
compression.
F OUR AI T RENDS C AN BE A PPLIED AT
D IFFERENT L AYERS OF S YSTEMS
1. At the machine or device layer itself, if
computing power is embedded: A robot
or an AGV can recognize a face, a part, a
situation, and take the best action based
on abnormal constraints that it can meet
during its operation (changing its route
for an AGV or changing the movement of
its arm for a smart collaborative robot).
It can also be applied at a wearable
device level if a worker uses a tablet, a
smart
watch
or
Virtual
Reality/Augmented Reality (AR) glasses.
At this small machine level, the
embedded capabilities are limited to
short term (seconds, minutes), low
Figure 6:4 layers of AI implementation
IIC Journal of Innovation
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