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How IT Leaders Can Ensure Successful IoT Implementations

By prioritizing data movement from the start, through its path and to its endpoint, companies can decrease failure risks from the outset.
By Ricardo Gomez-Ulmke
Jun 05, 2019

The potential value of the Internet of Things (IoT) is well-known. A recent survey conducted by Statista revealed that 90 percent of senior executives in the technology, media and telecommunications industries view the IoT as critical to some or all lines of their business. Sadly, though, many enterprises are failing in their IoT implementations. Common excuses include a lack of executive buy-in or funding, but often it's the IT leaders who are responsible for deployment failures.

To achieve IoT success, IT leaders need to put systems in place that not only distribute data between all kinds of devices and back-end applications in real time, but also facilitate the ability to filter, analyze and act on it rapidly. Among this high-level need is several specific challenges. Let's discuss how to overcome them.

Navigating Multi/Hybrid Cloud Environments
Most IoT projects currently involve only hundreds of, or a few thousand, connected devices—but even a seemingly simple application can require thousands of connections between devices to generate instant information updates. As IoT projects become more common and sophisticated, this could consist of linking tens and hundreds of thousands of devices. The exponentially more complicated connections between them will require a fundamentally new approach.

With so many nodes as part of a single application, managing data with a multi-cloud strategy is essential to organizing, aggregating and analyzing data from millions of IoT devices. This is why software architects and developers have turned to cloud-friendly messaging to solve common distributed computing woes. By decoupling endpoints, messaging software can make data exchanges fully asynchronous so systems can handle caching, buffering and routing challenges when nodes experience failures or slowdowns. This flexibility in IoT deployments enables real-time data movement that meets enterprise expectations.

Anticipating Security Flaws Within IoT-Powered Data Movement
Cybersecurity is a top concern for companies building out their IoT strategies, but it remains a struggle for many IT leaders. A study carried out by Bain & Co. cites security as one of the greatest current barriers to IoT adoption in the enterprise. When enabling the distribution and storage of so much data, it's critical to protect information both while it's at rest within connected devices and as it moves between systems. This involves addressing end-to-end security right from the beginning, with secure elements on the devices to secure connections and encrypted data transport, all the way to encrypting data within the enterprise and securing distribution across the eco-system. Managing access control at scale and in real time is not an easy challenge to solve.

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