Page 134 - Artificial Intelligence for the Internet of Everything

120 Artificial Intelligence for the Internet of Everything

Data

Maintain
Model of data
model
Fig. 7.1 Current state-of-the-art in data processing for the Internet of Things.

7.3 A VISION OF THE NEXT GENERATION OF THE IOT

As mentioned in the prior section, the Google Nest thermostat represents
the current state-of-the-art in advanced use of IoT technology: it uses data
from several internal sensors and from the web and it plays well with other
IoT devices, such as mobile phones and IoT devices found in the home. The
Nest thermostat develops a model that is authorized to act: it learns the
resident’s temperature preferences and maintains the temperature according
to those learned specifications. In many ways the Nest thermostat incorpo-
rates key properties we wish to formalize. We feel that it represents a glimpse
into what the future might bring.
In this section, we paint a broader picture of a likely future in which
smart entities in the form of software applications interact with each other.
We show that those smart entities rely on data from sensors but also from
data compiled and processed by each other. As such, some of the data is fairly
far removed from sensors. We show that some of the data is produced and
processed continuously and some is produced in an irregular fashion. In the
next generation of IoT, we see many different systems interacting to pro-
duce data and information. They will be used to seamlessly manage many
aspects of businesses and of people’s lives.
Perhaps the best way to characterize the next generation is by describing
a rich extended example. We pick the domain of personal health. We por-
tray a future in which a person’s health is maintained at an optimal level,
expressing the sort of systems that we wish to formalize. While the next
generation of IoT will impact all aspects of people’s lives, this domain is
sufficiently complex to expose pertinent aspects of WSE. We should point
out that the future of IoT cannot be seen in isolation; it is imperative that
advances in IoT be seen in the larger context of advances in technology, such
as predictive analysis (see Siegel, 2016; Tucker, 2014) and automation, such as
smart factories (see Wikipedia, 2018), an example of which is the Daimler’s
Factory 56 (see Daimler, 2018).