Smart Industry 1/2019


Smart Industry 1/2019 - The IoT Business Magazine - powered by Avnet Silica

Column Marco Giegerich

The Next Step

AI and IoT

Go Hand in Hand

In the past, IoT was focused mainly on

getting things connected through sensor

networks that were capable of collecting

huge amounts of data – but

the bigger questions remain: What

should we do with all this data? How

can we use and monetize it?

Increasingly, artificial intelligence (AI)

and machine learning (ML) are becoming

the enablers for completely new use

cases; ones that are making a ton of difference

in all kinds of markets. As we move forward,

smart business models will need to bring

together very different technologies from very different

angles. Together, AI and IoT are only now beginning

to show their true potential.

When it comes to AI, most people think about image

processing, machine vision, and video surveillance applications.

Other uses include object detection and

face recognition, and, as everyone knows, AI will be

the key technology as autonomous vehicles take to

the roads. This is only the tip of the iceberg; AI and ML

will take us so much further.

In Industry 4.0 applications, the health of a motor, an

electric drive, or a robot determines the reliability of

the processes and helps meet productivity targets.

The raw data for monitoring the condition of a device

is delivered by vibration analysis, infrared imaging, or

ultrasound detection. This data, processed with the

right machine learning models and algorithms, is the

cornerstone of predictive maintenance. Maintenance

costs can be reduced by up to 40 percent and extended

machine lifetimes will add another three to five percent

in savings. The next logical step will be to create

new business models based on smart services.

In our homes, the impact of AI and ML-enabled solutions

will be even more significant. They will not be

limited to condition monitoring and maintenance of

things like water pumps, washing machines, refrigerators,

or air conditioners, just to name a few. New

AI and IoT

are only now

beginning to

prove their true


Marco Giegerich

is director for

vertical markets and

third-party management

EMEA at Avnet Silica

services based on predictive maintenance

will allow us to repair or to replace devices

before we even notice something is

about to go wrong. The days aren’t far

away when we will see people talking

to their washing machines, ovens, or

microwaves just like they would talk to

another human being. The cost of voice

control is falling all the time because of

advances in hardware – but much more

because of improved and widespread AI/

ML algorithms. This will dramatically change

our relationships with our home appliances and

personal devices.

No doubt, when it comes to AI and IoT, the opportunities

are tremendous but many questions remain: How

do I find the best AI/ML model or algorithm for my

project? What are the right technologies to use to collect

all data? How can I protect my data? What processing

power is required and should it be edge or cloud

based? What infrastructure and platform should I use?

Developing such complex solutions will require orchestrating

technologies and expertise from many

disciplines. Hardware, software, and IoT platforms will

need to work seamlessly together.

To address these requirements and simplify things,

Avnet Silica offers turnkey and system solutions for

applications, like condition monitoring, predictive

maintenance, and AI-accelerated cameras, or platforms

addressing end node to cloud applications and more.

End-to-end solutions like these, designed for specific

use cases and vertical markets, can be deployed relatively

simply – and we support the entire ecosystem

together with our network of internal and external


The next level of applications in the Internet of Things

will be enabled by artificial intelligence and machine

learning. The combination brings new, exciting opportunities,

and both are key drivers to accelerate innovation.

The goal? AI-accelerated IoT.


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