Demystifying IoT Device Management: Laying a Strategic Foundation for IoT Success at Scale
The Internet of Things’ (IoT) potential is vast, but there are multiple challenges as companies move from planning to extensive deployment. Mastering the complexity and risk of deploying and managing an IoT device estate is daunting, even for digitally astute organizations. The key to unlocking success is to have a robust strategy from the start, with detailed consideration of elements such as device and data management, security, deployment flexibility and how to scale effectively.
Set your IoT project on the fast-track to success with Arm’s virtual seminar where we will demystify the decision-making process for IoT device management and discuss ways you can build a secure, scalable, and sustainable device estate.
Innovators and early adopters of IoT have proven its potential to drive transformational change, and research indicates 2020 marks a transition to the mass-market. However IoT as a genuinely commoditized product remains elusive. While pioneers may have enjoyed the thrill of being on the bleeding edge, pragmatic organizations need IoT solutions that are deterministic and dependable, offering enterprise-class capabilities, security, and scalability.
Initial IoT projects tended to be laser-focused on a single, specific mission, with the data applied to a relatively defined area of the business. Increasingly, multiple IoT data streams are being aggregated and integrated across the entire enterprise ecosystem. This role in critical decision-making has elevated IoT's value and driven a corresponding increase in the importance of enterprise-class device management.
Just as every organization is different, and their goals for IoT will be unique, there is no one-size-fits-all definition for what constitutes the right operating system to implement for a given type of IoT device. Numerous considerations come into play, including memory and storage capacity, energy consumption, bandwidth utilization, and interface requirements. Often, these factors will need to be finely balanced – one against the other – to craft a solution that's fit-for-purpose.
Using a Cloud-based software-as-a-service product offering is undoubtedly an obvious option and can offer a low cost-of-entry and quick-start solution, and scaling up (or down) is more-or-less painless. However, the on-premises alternative provides additional options and might be the better choice for those organizations that face challenges such as regulatory compliance, privacy, security, or technical oversight.
The question every IoT stakeholder should be asking is: can I trust the data that I get from my IoT devices? After all, organizations only invest in IoT because they believe the additional data will lead to better decisions, improved productivity, or increased profits. Given this context, IoT security is a risky topic to neglect. Ultimately, the level of trust you obtain is down to the security work you do upfront.
Edge computing has emerged as a dominant industry trend, and the balance between edge and cloud is shifting. As IoT deployments become more pervasive and expansive, a new generation of edge gateway functionality reduces bandwidth, improves latency, enhances security and privacy, and paves the way for applications that incorporate machine learning and artificial intelligence.
Ready to discuss your IoT ambitions? Contact us today to discuss how Arm can help.
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