The internet has become a beastly
enterprise, with the past ten years seeing more technological
advancements than perhaps any other industry. The Internet
of Things (IOT),
for example, is one such advancement gaining immense traction in the
marketplace. Here are 7 IoT trends to look out for this year.
1.
Big Data Convergence:
IoT is changing the way we live and
conduct business exponentially, generating a huge amount of data in
the process. Big
data platforms, for example, are usually made for supporting
the demands of large-scale storage and for performing investigative
work.
Interestingly, IoT and big data have a
lot in common. Smart devices, for example, are now being designed
specifically for the purpose of digesting massive amounts of system
and user generated data. The cloud has proven instrumental in meeting
analytic and storage requirements in the realm of big data. Moving
forward, the junction between IoT and big data will definitely be a
trend on the rise.
2.
Data Processing with Edge Computing:
Albeit a powerful force, weaker elements
in IoT are evident in the addition of devices behind the firewall of
the network. While Securing the devices may be easy, securing the IoT
itself proves a trickier phenomenon. Thus, security measures must
exist between the network connection and the software applications
linking to the devices.
Perhaps the most notable benefits of IoT
are it’s cost-effectiveness and efficiency, especially in data
processing. Rapid-fire data processing is prominent in most smart
devices, re: self-driving vehicles and intelligent traffic-lights
(aptly coined, “smart lights”). Edge computing has been proposed
as a potential solution, gaining immense popularity.
Edge computing usually outperforms the
cloud when it comes to speed and cost. Faster processing translates
to lower latency, which is one of the premium benefits of edge
computing. Data processing with edge computing will see an uptake in
IoT
trends in the near future, for certain.
3.
Auto-ML (Machine Learning) for Data Security:
In present days, developers are tasked
with finding newer methods in which people can share data securely by
the use of block-chain-like technologies. Many industrial companies
are learning how to trust and accept the forecast of machine
learning models (otherwise known as “predictive
analytics”), and will acclimatize their operations for preventing
the downtime by model outputs.
Machine
learning model training will likely become a highly automated
process. Industrial companies in particular will increase the large
capital assets, particularly in cloud computing, in the near future.
4.
IoT – Massive Growth Coming:
When it comes to data analytics, IoT is
perhaps the most promising technology to date. Smart devices ingest
more data and information about the devices and users, and by 2020,
it is expected that IoT devices will exceed 31 billion. Today, we see
IoT devices as the major part for reporting and tracking.
IoT is capable of the extraction,
storage, and analysis of massive data stores. When coupled with other
ground-breaking technologies, like Artificial
Intelligence (AI), for example, the essential data can be
appropriately measured, filtered and categorized. IoT trends will
most definitely see an increase in the amount of “work” smart
devices are doing. What’s more, they will serve to assist data
scientists and technicians in providing powerful, insightful
suggestions.
5.
Better Data Analytics:
Chances are, you’ve heard some of the
hype and clamor surrounding artificial intelligence in modern
business practices. The merger of IoT and AI has seen many recent
developments, as the two can be used interdependently to provide e a
centralized decision-making tool for all types and sizes of
businesses.
AI and Machine
Learning Development Services that can easily identify
trends, patterns, and unique behaviors otherwise invisible to the
naked human eye. Better data analytics and the need to safeguard this
said data are two major reasons for the rise of this trend. By
collecting insights from this data, we could even suggest it be
rendered to help us make better decisions in our personal lives. The
sheer intelligence, thoughtfulness and self-learning capabilities
make this a hugely popular trend to look out for in the near future.
6.
Smart Cities to Become Mainstream:
When it comes to data collection, many
states have adopted a more technological approach – replacing or
improving upon antiquated infrastructure; integrating sensors to reap
data that proves invaluable for the purpose of urban planning and
development. Prepare yourself for the integration of IoT into just
about every sidewalk, crosswalk, highway, and byway, as data
collection becomes less of a convenience and more of an evolutionary
imperative for American progress.
Cities both nationwide and globally will
become pioneers for the great data exchanges affording accessibility
and empowering evidence for better decision-making. Ultimately, the
digestion and dissemination of this unique, all-telling data will
provide a fundamental platform for both private and public
organizations, and the citizens under their watch.
7.
Personalization of the Retail Experience:
With IoT, the efficiency of supply chain
and information
systems management has grown by leaps and bounds with respect
to retail. Sensors and other smart beacon technologies are being used
to tailor shopping experiences with ease, speed, and accuracy like
never before.
In the not-so-distant future, IoT can be
used to monitor, gauge, track, and personalize your investment
portfolio – making unique, custom trade recommendations based on
your data insights. Or, imagine getting notified immediately when a
highly-sought after product from your favorite shop is discounted via
push notification which when expanded, offers an indoor map of your
favorite shop – leading you to the exact product you desire.
The value of this trend ensures the
better integration of personalized retail experiences which
ultimately can bring upon a new era of shopping as we know it.
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