Aerospace and Electronic Systems Magazine May 2018 - 85

Valter, Lindgren, and Prasad

Figure 6.

Business models patterns analysis with artificial intelligence and deep learning adapted from Valter, Lindgren, and Prasad, 2017 [11].

model (based on the current numbers of customer inside the store
at a given time period) to lower or raise prices on special offers
displayed on digital signage outside the store.
Archetype 4. Machine to Business Reality: A machine implements a change into the business reality based on new event
triggered from the business model as presented in Archetype 3. A
simplified example of this could be that a person decides to change
the business model to give away a product for free or extremely
cheaply in order to create earnings on related products, like get a
printer for free and when you buy ink and paper. When the person
updates the business model all the digital signage automatically
changes to represent the new business model. The person could
even apply the new business model to only a subset of the whole
enterprise to get measurements on its performance before applying
it onto the whole enterprise.

Archetype Patterns
Each of the machine archetypes have interaction patterns associated with them.
C

In Archetype Pattern 1, Internet-of-Things Sensing: Sensors
are sensing the business reality. This is pure Internet-ofThings input based on devices that are sensing the business
reality.
In Archetype Pattern 2, Internet of Things Applying: Sensors
are modifying the business reality. This is pure Internet-ofThings output based on devices that are manipulating the
business reality.
In Archetype Pattern 3, Robotics and Drones: More advanced forms of interaction take place in the form of robotic

MAY - JUNE 2018

devices and drones manipulating and/or sensing (input and
output) the business reality.
While machine intermediary Archetypes 1 and 4 in Figure 5
have patterns in common as described above, the archetype types
are concentrated on the machine as intermediary between the machine, the business reality, and the business model; the archetype
patterns are solely concentrated on the interactions between the
machine and the business reality.

BUSINESS MODELS PATTERNS ANALYSIS
In the third part of the conceptual model, the business models patterns analysis section, which is performed by the artificial intelligence and deep learning, all the interactions between the deep
learning patterns analysis engine and the business model, the human, and the machine are represented. In Figure 6 the business
model's patterns analysis with artificial intelligence and deep
learning is marked with red arrows and a red outline. The interaction archetype patterns for the artificial intelligence and deep
learning algorithms include the archetype patterns discussed below
and illustrated in Figure 7.
Archetype Patterns 1. Artificial Intelligence on Business
Models and Ecosystems: The artificial intelligence and deep
learning algorithms analyze all business models and business model ecosystems with the aim of optimizing existing business models
and suggesting new business models based on the success of other
business model ecosystems.
Archetype Patterns 2. Artificial Intelligence to Human
Intermediary: The artificial intelligence and deep learning algorithms suggest new business models directly to the responsible
person in the organization based on the success of other business

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Table of Contents for the Digital Edition of Aerospace and Electronic Systems Magazine May 2018