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Implementing Amazon Web Services (AWS) IoT Cloud Connectivity with OPTIGA™ Trust X
| January 22, 2018
ACI Infotech (ACI) is a next-generation Global Technology Services & Products company with deep expertise in and delivering Business-driven Technology Solutions that empower clients to streamline & run their business efficiently.
Article | June 8, 2021
5 years ago, when we forecasted that the IoT platforms market would have a 5-year compound annual growth rate (CAGR) of 35%, we wondered if our growth projection was unrealistically high.
5 years later, it has become apparent that the forecast was actually too low. The IoT Platforms market between 2015 and 2020 grew to be $800 million larger than we forecasted back in early 2016, resulting in a staggering 48% CAGR.
Comparing what we “knew” back in 2016 to what we know today provides some clues as to why the market exceeded expectations so much. 5 years ago, no one really knew what an IoT platform was, let alone how big the market would be, which business models would work, how architectures would evolve, and which companies/industries would adopt them. The only thing that was “known” was that the IoT platforms market was a billion dollar “blue ocean” opportunity ready to be captured by innovative companies.
While the Industrial Internet of Things (IIoT) is maturing rapidly, there’s often a strong link to Artificial intelligence (AI) and Machine Learning (ML) tools to manage data flows. This raises a host of challenges including connectivity, security, storage and modeling requirements. Designers of IIoT devices and larger deployments must build in contingencies for shifts in these areas or risk falling short. While IIoT is gaining in maturity, the overall market still has many challenges to overcome. Some of these challenges are technical barriers to IoT device operation, such as connectivity standards and battery technology, but the picture is even wider than that. The world of IIoT not only requires IoT hardware to operate reliably and efficiently in all environments but also relies on supporting networks and services too. The result is that IIoT deployments cannot be viewed as isolated technology upgrades or productivity drives, but highly interconnected ecosystems sensitive to a wide range of variables – in particular the developing world of AI.
One might be forgiven for thinking that Google had enough operating systems. Other than Android, Google also owns Chrome OS and Google Fuchsia – the latter of which isn’t even finished yet! But then came murmurs of a project called Pigweed, following a Google trademark that surfaced in February this year. At first, speculation was rife that this was yet another operating system, due to wording that described it as “computer operating software.” Now we know that is not the case. So what is Google Pigweed? In a recent blog post, Google officially threw back the curtain. Google Pigweed, it turns out, is a collection of embedded platform developer tools for development on 32-bit microcontrollers. Effectively, these are libraries targeted at Internet of Things (IoT) applications.
In the wake of the COVID-19 pandemic, manufacturing is roaring back to life, and with it comes a renewed focus on Digital Transformation initiatives. The industry stands on the doorstep of its much-anticipated renaissance, and it’s clear that manufacturing leaders need to not only embrace but accelerate innovation while managing critical processes like increasing capacity while maintaining product quality. Effective collaboration will be key to doing both well, but it’s even more critical as workforces have gone and are still largely remote.
As the virus swept the globe, it became apparent quickly that there would be winners and losers. Many manufacturers were caught off-guard, so to speak. Before manufacturing’s aforementioned reckoning, the industry had already been notorious for its slow adoption of the digital, data-centric mindset that has transformed other industries.
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