How Democratized Artificial Intelligence Can Move Manufacturing to a New Evolution Pace
specific algorithms built by researchers,
suppliers, consulting firms, engineers and
data scientists supporting open source
languages like R 25 and Spark MLib 26 . Those
experts must have access to user-friendly
environments to focus on business
outcomes instead of IT programming
activities. The point here is not to explain
that you will never need any data scientist,
but more to focus your effort on business
usages of AI and trust the pre-packaged AI
solutions and infrastructures built by data
scientists and IT experts.
capabilities natively in your core processes
and solutions.
AI and ML can provide you differentiating
advantages, but those advantages will be
fully successful only if you work with
partners who can help you to generate
business value rather than asking you to
waste your time and money on technical
prerequisites and standalone experiments.
This AI is moving forward to purpose-built
solutions within a framework that makes
sense for your business.
The democratization of the AI for
manufacturing business is just at the
beginning. Keep in your monitoring radar
what is currently happening in the near
future on monetizing manufacturing IOT
data with AI analytics, to provide
cooperative AI solutions for partners and
coopetitors to improve their businesses. This
is what is happened using AI in Marketing
and there is no reason to not see the same
in the manufacturing world: Having a
Business Oriented Manufacturing DMP
(Data Management Platform) in the future,
like Skywise 27 is doing in Aeronautics the
industry.
Don’t wait, it’s the right time to start your
journey to investigate and test how AI will
make your business more efficient. If you
don’t start, your competitors will. Don’t be
scared by the approach, in most of the cases,
it is non-intrusive and applied more as a
business helper until it proves its value and
has been integrated in the core business
processes. One of the major values of cloud
solutions is providing a business try and test
environment on the edge of your core
systems and business processes to validate
the business cases at low cost. If you are a
new entrant, the mandatory step is making
sure that you are embedding those
25 https://www.r-project.org/
26 https://spark.apache.org/
27
http://www.airbus.com/newsroom/press-releases/en/2017/06/airbus-launches-new-open-aviation-data-platform--skywise--
to-sup.html
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November 2017