Advait Thakur takes us on a journey around the race track with an IoT lens
When it comes
to F1, there can be more excitement off the track than on it. The average F1
car has between 150-300 sensors monitoring all the major systems and
subsystems, so the race teams can measure the performance of the car and react
to race, track, weather and tyre conditions through real-time monitoring
leading to real time response. This is all thanks to the data analytics that
provide the actionable insights.
It’s a great example of IOT in action and helps race
teams gain competitive advantage by optimising the car performance - but it’s
also part of the entertainment and enjoyment for the media and the devoted
fans.
For the world of F1, the objectives of IOT are very
clear – to gain a competitive advantage over other cars, respond to the race
variables and win the race (or 21 races over the course of a season). For other
industries, the objectives may not be so clear but this is a vital element of
deploying IOT.
In fact, the business objective is the starting point
for improving business performance and means that you can learn systematically;
the more you know, the more you can improve. This is because IOT is not a
technology, solution or product, which can be bought and plugged into an
organisation; IOT and Analytics is a framework and mechanism to transform a
business through data. The IOT process can generate the data to improve
performance and even enable a company to start to predict the future – through AI
and predictive analytics applied to people’s behaviour or processes and
systems, and even individual critical components.
Dubai has set its own IOT strategy to underpin the
world’s emerging smartest city with the clear objective of 100% paperless
government. The ‘smartness’ of smart cities is based on IOT to connect devices
and people, and data analytics to generate the information required to optimise
an individual smart city service or to view the bigger picture and take a
city-wide view across all the services and systems. IOT is the ecosystem to
enable data to flow, with data analytics to answer the questions that IOT can
enable you to pose. Beyond data analytics, Machine Learning and AI can be
applied to the same data sets for deeper insights that will add even more value
for organisations.
Because IOT is not a technology and is a framework to
transform business through data, IOT can be applied to any business in any
industry – and especially when there is a time-sensitive, complex supply chain
to optimise such as in Transport & Logistics (including maritime and
aviation) Retail and Healthcare.
Within the overall data journey, IOT adds control to
monitoring – providing certainty and precision in decision making to enhance
business operations. But IOT is reliant on the clarity of the business
challenge and objectives - this is where you really need a trusted partner.
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