How Democratized Artificial Intelligence Can Move Manufacturing to a New Evolution Pace
due to their level of complexity. In the last 5
to 10 years, with the exponential evolution
of computing power capabilities following
the Moore’s law 5 , and now the Cloud 6 (a set
of disruptive innovation for sharing digital
capabilities) which is providing services
across the world, AI is becoming a reality to
use in day to day activities. Of course, this
approach can be debatable, but most of the
current manufacturing problems are still
managed with spreadsheets and human
discussions
while
“simple”
and
democratized AI tools make decisions more
robust, logic, simplified, automated and
scalable.
their friend networks, their pictures and
their movies.
All that data has been mixed with
transactional data from retailers, credit
cards providers and analyzed with AI
algorithms to create profiles of interests 7 ,
intents and behaviors. That also generated
the need to create more affordable
computing power for computing this
massive amount of data shared across the
world. This first disruption showed the value
of AI and the democratization of the access
to the AI outcomes to make business
decisions smarter and more accurate.
Marketing companies are now using Data
Management Platform (DMP) 8 outcomes
and consumer profiles to define their
offering targets. They finally trust the work
done by data scientists specialized in
consumer classification to use the outcomes.
Now, replacing the social network digital
wave, the new digital revolution is coming
from the Internet of Things (IOT) + AI and
makes AI more relevant for the
manufacturing domain.
AI IS N OW A M ATURE T ECHNOLOGY
FOR THE D IGITAL T ECHNOLOGY
D ISRUPTION FOR M ANUFACTURING
The AI disruption is not new. It already
happens in some business domains such as
banking, advertisement and marketing. A
few years ago, the first large-scale, data
capture disruption wave was the social
network which brought a massive amount of
data from people, their lives, their interests,
1. The Industrial IoT (IIoT) 9 , the new data
capture disruption wave – Connecting
5 ttps://www.intel.co.uk/content/www/uk/en/silicon-innovations/moores-law-technology.html
6 https://en.wikipedia.org/wiki/Cloud_computing
7 https://www.salesforce.com/blog/2017/09/use-ai-to-create-human-experiences.html
8
Data Management Platform: It’s a piece of software that sucks up, sorts and houses information, and spits it out in a way that’s
useful for marketers, publishers, and other businesses (digiday.com - https://digiday.com/media/what-is-a-dmp-data-
management-platform/) .
9 Algorithmically deriving insights from aggregated data, and/or applies machine learning to allow insights to bubble up,
eliminating the inherent biases that algorithms entail (Forrester -
https://reprints.forrester.com/#/assets/2/177/'RES136171'/reports )
IIC Journal of Innovation
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