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EDITOR’S QUESTION
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MICHEL AMOUS,
MD ME, ITALY
AND INDIA AT
INTERSYSTEMS
T
he IoT revolution is creating unprecedented opportunities
for organisations to transform their businesses, deliver new
services, increase revenues, reduce costs and delight their
customers. In its report titled: Unlocking the potential of the Internet
of Things, McKinsey estimates that the total economic impact of the
IoT will reach between US$3.9 trillion and US$11.1 trillion annually
by the year 2025.
In the world of healthcare, IoT applications are improving
patient outcomes as well as providing operational enhancements
to organisations. For example, they are facilitating predictive
maintenance instead of preventive maintenance, based on historical
analysis and real-time measurements.
This can minimise failure rates for critical devices, thus improving
device and machine utilisation rates and reducing loss.
However, the diversity and scale of the Internet of Things
(IoT) will require many organisations to re-architect their data
to enable support for multiple devices, data formats and new
approaches to analytics.
There are distinct challenges to
accomplishing this – in most instances
this requires data to be ingested, curated
and analysed from millions of endpoints.
Meanwhile, there has been a strong drive to
handle both operational and analytical needs
in the same platform to reduce complexity.
In a report InterSystems commissioned to
help understand the future of IoT, The Role
of Operational Analytics and Interoperability
in the Era of IoT, we’ve identified three
major types of data that come together
to make up the IoT: metrics and measures
(metadata and state), transactions
(commands) and diagnostics (telemetry).
Enterprises need to understand how these
different types of data can be brought
together to add value in new ways. This will
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impact the way that companies ingest data into a data platform and
subsequently analyse it.
Organisations deploying IoT need to rethink how they can optimise
analytics and consider multi-model, extremely scalable data
platforms with flexibility to process multiple data formats and the
agility to evolve to meet changing requirements. One such example
is the InterSystems IRIS Data Platform. It is a comprehensive, multi-
model, multi-workload data platform that
is ideal for accommodating the challenging
requirements of applications for the IoT.
“
WHILE THE
FUTURE OF IOT
IS BRIGHT, IT’S
CRUCIAL THAT
ENTERPRISE
ORGANISATIONS
CONSIDER THE
RIGHT KIND OF
DATA PLATFORM.
It is a complete platform for developing,
executing and maintaining IoT applications
in a single, consistent, unified environment.
InterSystems IRIS Platform incorporates a
proven enterprise-grade transactional multi-
model database that is designed to work with
data on a massive scale and provides the
flexibility to store the incoming data in the
most appropriate format.
While the future of IoT is bright, it’s crucial
that enterprise organisations consider the
right kind of data platform, one that can
accommodate the challenging requirements
of high throughput and scale associated
with IoT applications. n
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