Accelerating Performance with the Artificial Intelligence of Things
Organizations across industries are waking
up to the potential. Gartner predicts that by
2022, more than 80 percent of enterprise IoT
projects will include an AI component, up
from only 10 percent today. 11
Analytical model management
Model
management
provides
essential governance across the life
cycle of analytical models, from
registration to retirement. This
ensures consistency in how models
are managed – the means to track
the evolution of models and ensure
that performance does not degrade
over time. 10
“Without AI-powered analytics, IoT devices
and the data they produce throughout the
network would have limited value,” says
Maciej Kranz, Vice President of Corporate
Strategic Innovation at Cisco. 12 “Similarly, AI
systems would struggle to be relevant in
business settings without the IoT-generated
data pouring in. However, the powerful
combination of AI and IoT can transform
industries and help them make more
intelligent decisions from the explosive
growth of data every day. IoT is like the body
and AI the brains, which together can create
new value propositions, business models,
revenue streams and services.”
I F Y OU R EMEMBER O NLY T HREE
T HINGS …
When you think IoT or think AI, the takeaway
is clear:
1) If you’re deploying IoT, deploy AI
with it.
2) If you’re deploying AI, think about
the gains you can make by combining
it with IoT.
3) Either one has value alone, but they
offer their greatest power when
combined. IoT provides the massive
amount of data that AI needs for
learning. AI transforms that data into
meaningful, real-time insights on
which IoT devices can act.
IoT Applications Already Benefit from the
Power of AI
The technology is already proven for a huge
variety of consumer, business and industrial
applications. For example:
AI and IoT already work together in our daily
lives without us even noticing. Think Google
Maps, Netflix, Siri and Alexa, for example.
Intelligent transport solutions are
already speeding up traffic flows,
reducing
fuel
consumption,
prioritizing vehicle repair schedules
and saving lives.
10
Klenz, Brad. 2018. “How to Use Streaming Analytics to Create a Real-Time Digital Twin.” Proceedings of the SAS Global Forum
2018 Conference. Cary, NC: SAS Institute Inc. https://www.sas.com/content/dam/SAS/support/en/sas-global-forum-
proceedings/2019/3459-2019.pdf
11
Gartner, Inc. Forecast: The Business Value of Artificial Intelligence, Worldwide, 2017-2025. By John-David Lovelock, Susan Tan,
Jim Hare, Alys Woodward, Alan Priestley. March 12, 2018. https://www.gartner.com/document/3868267
12
Kranz, Maciej. AI Business https://aibusiness.com/ai-and-iot-two-sides-of-the-same-coin/
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June 2019