How Democratized Artificial Intelligence Can Move Manufacturing to a New Evolution Pace
a specific weather condition on my order
dispatching across my factories? How
can I build a new product with multiple
options in one production line and learn
from field data to make it efficient in the
short term? How can I monetize or
consume machines per hours of usage in
contract manufacturing and make sure
that it is 100% available when needed,
with maintenance done at the right time
to not impact my production? These are
some questions on which AI is now able
to help you solve in an agile and fast way
to make your business more flexible,
proactive, reactive and reliable.
Once the second step is raised, the next
steps from 3 to 7 are quite easy to achieve
if you are using modern cloud solutions. The
cloud software vendor companies are
making a huge effort to simplify the access
to those technologies. Now most of the AI
capabilities are natively embedded in
business solutions. To start, there is no
mandatory need for in-house data scientists’
expertise or heavy investments; find your
scalable use case, your AI platform partners,
connect your data and equipment, subscribe
to AI services and activate the capabilities. At
the first stage, if you want to monitor and
make visible multiple sources of data,
predict trends and detect abnormal
behavior, start step-by-step, looking for
solutions that provide no coding capabilities
and
proof-of-concept
platform
environment. For more advanced analytics,
the AI platforms must be also open to host
H OW C AN I S TART T HIS AI J OURNEY ?
Let’s first identify where you are in terms of
maturity. The first level you need to achieve
is to get data from the business area where
you want to apply AI.
Figure 7: How to start your AI journey to impact your businesses in the short term while preparing for the long road ahead
IIC Journal of Innovation
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