How is IoT impacting NZ Information Management Strategies?

As the New Zealand market already knows, the opportunity of the Internet of Things (IoT) has everything to do with data.

As the New Zealand market already knows, the opportunity of the Internet of Things (IoT) has everything to do with data.

So much so that by distributing and diversifying data, most industry experts and analyst firms believe IoT architectures will dramatically impact analytics, stakeholders and infrastructure.

Analytics are highly distributed in an IoT architecture, meaning that distributed management and data use must become the norm for information managers.

"The IoT means massive distribution of data and the processing of data," says Nick Heudecker, research director, Gartner.

"Data will be produced, collected and stored in multiple locations depending on the nature and goals of the IoT architecture and use case."

Heudecker says data produced by devices may be stored in the device itself, in intermediate locations or in a centralised repository resident on-premises or in the cloud.

The processing of that data may happen in any and all of those same locations. Many devices will be powerful enough to perform sophisticated computation on the data they generate, and/or house and process data locally for autonomous behaviour.

Sensor Scenarios

According to Heudecker, some IoT scenarios will rely on highly centralised collection and processing of data in traditional on-premises environments or cloud-based repositories and compute platforms.

Frequently, these scenarios will overlap and may create interesting side effects.

One such example can be found in farming, where agricultural irrigation sensors coordinate with local equipment to optimise water use and crop yields.

In this scenario, Heudecker says cloud-based information shared with seed providers improves crops the next season, while farming equipment manufacturers discover unapproved usages that void equipment warranties.

Similarly, in the automotive industry, connected cars engage with drivers through location-based and context-aware services. These same sensors report to centralised stores and are used by law enforcement for asset forfeiture, and insurance companies for near-time premium adjustment.

The IoT Jigsaw

These examples highlight the distributed nature of IoT use cases.

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