Shulou(Shulou.com)06/02 Report--

However, it is often time-consuming and tedious to start animal networking devices and manage them on a large scale. Most IoT projects take longer than expected and are still in experimental mode even after a year of development. The delay in time to market is the main reason why many new Internet of things projects have been cancelled.

We have studied these challenges in depth from more than 30 case studies, project summaries, and business cases involving customers who have come to us for help with the Internet of things project. We see that there are three main reasons for the stagnation or even failure of the Internet of things project:

First of all, it is difficult to understand the hardware complexity of the Internet of things, especially when considering software compatibility. Some companies are so eager to solve the problem that they start writing applications before they choose or fully understand the hardware, and then they have to waste time rewriting code. Other companies have taken too long to choose hardware, which has proved to be an early hurdle, losing stakeholder support for IoT projects.

Second, many enterprises are charged with the task of creating and maintaining complex IoT infrastructure, from developing software to updating field equipment, only to be overwhelmed by too many decisions about too many technical concepts made too early in the project life cycle.

Finally, innovation is stifled because product teams with little or no experience and expertise in the Internet of things are finally distracted by technological firepower. This increases burning speed and causes senior stakeholders to lose support.

Fortunately, there are many ways to eliminate critical risks and accelerate an enterprise's Internet of things strategy. Here are seven best practices:

1. Don't just look at the statistics about CPU and RAM. Although these statistics are standardized, the performance and use of Internet of things hardware are affected by many factors. For example, a piece of hardware may have a tolerable level of energy consumption, but at a cost in terms of computing speed. Other factors to be aware of are the developer tools for the hardware and how long the vendor will build the hardware, and the enterprise must ensure that the hardware exactly matches the project use case.

two。 Select the tested hardware. Choosing certified hardware can speed up time to market by ensuring that the hardware works with the operating system and its application ecosystem. This kind of hardware has usually been extensively tested on the operating system by a team of professional engineers from hardware vendors or operating system distributors. This makes all the features of the hardware available out of the box, thus reducing the bug fixes and manual adjustments required to operate the hardware.

3. Deal with "build and buy" decisions wisely. Analyze how the economy of each device changes with the different stages of the Internet of things project. If the upfront project cost deviates from the economic benefits per unit, this is a signal to shift to a credible infrastructure supplier.

4. Select the infrastructure that supports automation. Popular programming languages, such as Python and Go, are usually not suitable for the Internet of things. Therefore, organizations should choose the infrastructure that includes build tools that allow engineers to use their experienced languages while still making software for IoT devices. In addition, the infrastructure should simplify hardware and software integration through build tools to bridge the gap between user applications and hardware managed by the operating system. This ensures the productivity of software engineers, and system integration at the end of the project does not lead to a lot of duplication of work.

5. Extend automation to updates. By selecting an infrastructure that automates an on-site device update, enterprises can significantly reduce the lifecycle cost of IoT devices. In addition, as the security regulations on the Internet of things become more stringent, ensuring that security patches can be delivered to the device throughout its life cycle, thus extending the viability of the device after sale. Developers need update tools that automatically manage the update process-unlike mobile phones, there is usually no man-machine controller to actively monitor the IoT device and find a convenient time to update it.

6. Use external resources to fill skills gaps and deficiencies. Companies should consider using third-party experts and consultants to fill the skills gap and help bear the engineering burden without the need for additional personnel. This helps internal product teams avoid falling behind due to early difficulties. It enables companies to maintain their business focus and deploy resources for innovation.

7. Reduce the risk through contract. Companies should sign contracts with third parties to reduce risk and ensure the predictable cost of their IoT projects. With fewer variable costs, companies can enjoy a smoother budget process that senior stakeholders prefer. In addition, the delivery risk has been removed from the product team and transferred to the professional team within a clear schedule. Usually, experts will solve and solve problems many times in a variety of situations, so it is the most effective way to manage this risk.

By following these seven steps, enterprises can avoid delaying Internet of things projects because of waste of time and complexity, and put their Internet of things strategy on the fast track.

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