IoT in the combination of ML can help you automate your business and optimize the processes. Let's explore the future possibilities of combining ML with IoT.

1. https://www.bacancytechnology.com/
IOT + MACHINE LEARNING:
EXPLORING FUTURE
POSSIBILITIES

2. It was my solo trip to Dubai. While travelling, I
met two friends, one of them was a Data
scientist, and the other was a machine learning
enthusiast. They were discussing about how
Machine Learning and Artificial Intelligence
will have an impact on our everyday life and
will revolutionize the future. As discussed in
the previous blog, Machine Learning is for
everyone, and without a doubt, it is.
One of them said Machine Learning creates an
analytical model that can enable algorithms
for learning with the available data whereas
the other said it is the process of eliminating
human errors wherever possible that allows
the data to learn patterns and make the
decision without the coder. It was a great
experience talking about these topics, and
endless possibilities came up while travelling. I
wondered the future could be even smarter if
we combine IoT with Machine Learning. So, I
am writing this great piece of content,
discussing the emerging possibilities that can
be leveraged combining IoT and Machine
Learning

4. What is IoT
and ML?

5. Kevin Ashton is the father of IoT( Internet of
Things) that represents a system where the
Internet is connected with the real world
through pervasive sensors. IoT has limitless
potential, orchestrate, and the capability to
deploy.
The structure of IoT includes sensors through
which one can talk to the cloud via some
connectivity. The software processes this data
to perform some tasks like automatically
adjusting the device without the need of the
user.
Gartner commanded The Internet of Things
(IoT) is the network of physical objects that
contain embedded technology to
communicate and sense or interact with their
internal states or the external environment.

6. Arthur Samuel is the inventor of Machine
Learning who coined this term in 1959 while at
IBM. Machine Learning is a part of Artificial
Intelligence that is capable of improving from
experience without being explicitly
programmed. Developers can easily code
complex programs directly without expanding
models and visualizing the data.
As mentioned in the Gartner Glossary,
Advanced machine learning algorithms are
composed of many technologies (such as deep
learning, neural networks, and natural
language processing), used in unsupervised
and supervised learning, that operate guided
by lessons from existing information.
Have a look at the global share of IoT and
machine learning devices market size:

7. Internet of Things Market Size
Source:GrandViewResearch

8. Machine Learning Market Analysis
Source:MarketResearchFuture

9. What Does Machine Learning in IoT
Mean?
Machine learning has earned a considerable
amount of popularity among industrial
companies, and it is possible through the
Internet of Things. Various companies adopt IoT
as a significant area, whereas others have
removed pilot projects to map the potential of
IoT in large enterprises. Every IT firm is suddenly
grabbing IoT platforms and consulting services
for boosting the business.
There are millions of articles written about the
amount of data you generate regularly. Machine
learning and IoT are popular terms when
Facebook shut down it’s Artificial Intelligence
wing and produced a whole new language from
its bots.
But if you are thinking about gaining benefits
through IoT, then it is not an easy task.
Somehow there is a lack of concrete objectives,
where new prerequisites are placed on both
sellers and buyers by IoT. Thus businesses fail to
determine where to implement an IoT strategy.

10. For instance, industrial firms generate large
amounts of data daily; large scale companies
fail to store and analyze data to enhance
processing efficiency to achieve specific goals.
Every business uses the learning algorithm of
ML, and if you are still not aware of it, then
you must read blog an on machine learning
for everyone: from hype to humanization to
have in-depth knowledge about Machine
Learning and its applications.

11. IoT and Machine Learning
Changing the Future

12. Embedded System and Application
of Machine Learning in IoT
– Top 3 Real-World Use-cases
1. Self-Driving Cars
Self-driving cars are driverless cars, also
known as an Autonomous Vehicle. These cars
are capable of moving safely without human
input. The control system in the vehicles
interprets sensory information to identify
navigation paths and relevant signage.

13. 2. Robotic Vacuum Cleaners
Automated vacuum cleaners also called
Robovac, which has excellent programming
for floor cleaning systems. Robotic vacuums
cleaners are beneficial compared to a regular
cleaner machine as they vacuum on their own.
Robovac can be placed anywhere; whether it’s
under the bed or desks as well as a typical
vacuum cleaner requires large amounts of
space.

14. 3. Smart Thermostat
The smart thermostat is used with home
automation for controlling a home’s air
conditioner. You can control the temperature
of your house using a schedule that contains
features like sensors and WiFi connectivity
through a smart thermostat. The HVAC
system can even notify you if the air filter
needs to be replaced.

15. Given the rapid pace of research by Forbes, I
expect Artificial Intelligence + Machine Learning
= great customer experience to create new
personalized media, such as music according to
your preference. Imagine a future music service
that doesn’t just play existing songs you might
like, but continually generates new songs just for
you.
— Jan Kautz, Senior Director of Visual
Computing and Machine Learning Research,
NVIDIA

16. The Future of IoT is AI

17. AI Offers Power to Unlock IoT Potential
Artificial intelligence plays a vital role in IoT
applications in startups that combine the
capabilities of machine learning-based
analytics. Machine learning is an AI technology
that has the potential to detect anomalies and
redundant data generated by smart sensors.
Speed recognition and computer vision are the
AI technologies that help to extract insight
from data to require human review.
Operational Efficiency and Risk Management
AI enables better offerings to give a
competitive edge in business performance.
There are numerous applications connected
with AI that are helping businesses to predict
risk for quick response to manage cyber
threats, financial loss.
Combining machine learning and IoT improve
operational efficiency to predict equipment
failure and operating conditions.

18. Enable New Services and Products
To build products and implement new
services, it is essential to enhance artificial
intelligence and machine learning. Natural
language processing allows you to talk with
machines rather than a human operator. The
transportation system has cut downtime for
its vehicles monitored by Navistar devices for
more than 30%.
“AutoAI Offers you to Create Machine Learning
Algorithms Easily and Quickly”

19. Have you Ever Wondered Which
is Better IoT or Machine
Learning?
The concept of IoT and machine learning is
not new to this computing world. Machine
learning uses various learning techniques on
historical data to make decisions. Decision-
making becomes easy if the quantity of
historical data is substantial.
Bieler says that companies have a clear
business goal in mind – predictive
maintenance, as in the case of ThyssenKrupp
and Rolls-Royce – before starting any such
project.

20. Final Thought
More than millions of organizations have
adopted one of the major cloud platform
providers. Large firms like Amazon, Google,
and IBM offer a wide range of services for
collecting IoT information for data analytics.
According to Forrester’s Bieler, before
launching a project gather information as
much information as you can from IoT data, it
is crucial to check what your competition is up
to. The machine learning models depend on
having good-quality data, so it is hard for small
businesses to compete with the key players. He
gave Uber’s example as an explanation: Uber
has a massive amount of data compared to
any start-up about passengers like popular
routes and performance of a driver. They might
send cars to specific areas where they assume
there will be substantial demand four hours
from now.

21. Build a smart solution, Combining IoT and
Machine Learning.<.p>
We at Bacancy Technology helps all the
potential marketers to identify the latest
trends to estimate the potential market size. If
you are looking for a development partner to
implement IoT and ML in your existing
business to accelerate business growth, then
leverage our Artificial Intelligence and
Machine Learning development services.
Incaseofdoubt,feelfreetogetintouchwithour
expertsatsolutions@bacancytechnology.comto
getabetterunderstandingandidentifywhat
otherpossibilitiescouldbeexplored,combining
IoTandML.