IoT

IoT
Investment PrioritiesInvestment Priorities

This study is a deep dive into investment spend and priorities for approximately 400 IT leaders.

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What are your thoughts on SaaS management platforms (SMP)?

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IoT ImplementationIoT Implementation

This report focuses on IoT implementation and the challenges that IT leaders have faced.

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Disruptive TechnologyDisruptive Technology

This report dives into how 450 IT Executives are thinking about disruptive technologies like AI, ML and IoT.

How can we look at digital transformation through the lens of Industry 4.0?

Top Answer : For the past about five and a half years within the confines of advisory and consulting, I actually coached CEOs', CIOs' boards on digital transformation from an Industry 4.0 perspective. I did a very deep dive on Industry 4.0. I think it's quite applicable to digital transformation, as well as to manufacturers and I have written a couple of very long treaties, for a couple of organizations, both in electronics and in pharma. When B2B hit, I was very involved in developing B2B for very large organizations, manufacturers with 30 facilities worldwide, in pharma, high tech and electronics. One of the things that stayed with me for a very long time was the idea that, if you think about Porter's five forces (https://www.investopedia.com/terms/p/porter.asp), every time we do this continuous improvement where technology kicks in, one of them goes away. The last time, it was the advantage of corporations to use business processes as a key lever in their competitive advantage. This time around, I'm seeing that another piece is disappearing, because as we equalize and bring digitalization forward, the principles of Industry 4.0 make us more connected, but they also level the playing field in a way that striving for competitive advantage becomes very tenuous—in some cases, untenable. That’s is where my focus is currently, both on the manufacturing side in the weeds of IIoT, edge computing, cloud and all of the technologies surrounding that, to the other side which is: How can I thrive in the 4th Industrial Revolution, if all things are now equal, including the data I share with my closest trading partners, suppliers and everything across the board? How do I bring that up a notch, into what I call digital business?

How do you think IoT will be used in a post-Covid world?

Top Answer : One area I see companies utilizing IoT is when offices open back up. All these counties are adding instructions (e.g. you can only have 25-50% of employees in your office). I definitely see companies utilizing IoT to monitor that, and giving employees an app or something so they can check and see if there’s space in the office for them to go in today.

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What emerging tech are you most excited about in supply chain digital transformation?

Top Answer : Surprisingly, I'm most excited about drone technology and IoT technology. I didn't really know of all the potential that drones have but I'm becoming privy to it. I learned that it uses less energy to deliver a box of pasta by drone that it does to cook it. If we utilize those technologies with edge computing the use cases are endless.

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Edge computing: a vendor’s dream in a catastrophizing world?

Edge Computing, as a category, sounds like a bad marketing attempt to create intrigue around yet another ‘paradigm-shifting’ technology that’s ‘the future of the enterprise’. What the name actually refers to is its functionality -- pushing the IT perimeter right up to the edge of where the data is being collected, in the form of smart sensors or Internet-of-Things (IoT) devices. Edge Computing (EC) isn’t just about gathering data, though. Because gathering too much data eventually becomes problematic. Smart sensors mostly collect unusable ‘noise’. Think about all the images a smart camera picks up throughout each day on a busy street. If the cloud has to process hours of nothing but the occasional pigeon wandering into shot, that’s a ton of wasted server space. What EC does is place computing power inside those sensors. This computing is done in isolation, locally, cut off from the rest of the network, after which only the clean, usable data is sent on to the cloud or data center.  While EC solves some big problems in principle, there are a lot of discrete steps and factors to the whole process. Imagine the data as a game of hot potato. Each step of this game of hot potato requires entrenched security -- it’s bad news if someone can simply hack into that data being processed in the sensor (and there are many anecdotal reports of this happening), or indeed corrupt it before it’s passed on to the data center. That means containerization. There’s also latency and power consumption to consider. What’s the point of collecting data out in the world if it takes too long to make it to the cloud and back (a potentially fatal problem in industrial safety settings), or devices die out in remote locations? That means utilizing up-to-date 5G networks, LoRa (Long Range, low energy radio frequencies), BLE (Bluetooth Low-Energy) etc. And indeed, all the computing happening at source needs Machine Learning expertise thrown at it to figure out what’s useful.  This hot potato situation creates complexity as myriad, unproven vendors step in to offer ‘expertise’ and single point solutions to intrigued but overwhelmed IT teams.
Gartner predicts a ‘volatile’ situation over the next few years as quick adoption is met with insufficient solutions. Because of this, Gartner forewarns organizations to have an agile mindset going into any EC projects. However, we live in a world where climate-driven catastrophes and social unrest are becoming the norm. This could spell disaster for all of us tech companies for whom the internet is the lungs inhaling life into our organizations. Large scale outages will become a (bigger) problem based on current infrastructure. However, EC enables a situation where devices don’t depend on constant connection. Data can be stored on-device until a network can be re-established, preserving it during downtime. ECs can also be architected to form Mesh Networks, so that even if a node in that network goes down, the rest of the network can pick up the slack and find alternative pathways for upload. If the cloud forms the organization's brain, ECs can act as miniature, extra, failsafe memory banks. However, given that these sensors are physical objects, they won’t ever be totally safe from harm, either. Just look at how conspiracy theorists have torched 5G towers (or what someone on Facebook thought was a 5G tower, anyway). So physical device safety is another aspect to consider. As part of a movement made up of several different innovative, overlapping fields such as IoT networks, 5G, virtual machines, cloud computing, Kubernetes (to name a few), wide scale adoption might take a while to come to fruition. Perhaps over time more generalized, established, expert vendors will take control of the field. IBM is already pretty well positioned for that. ClearBlade boldly offers a scalable, managed solution for a ‘common software stack across the board’. RedHat offers a ‘Virtualization Manager’ for centralized oversight with a Graphical User Interface and an open source library to refer to, but that leaves IT a lot of work to do, still. For now, EC seems to be living up to its name more by existing on the edges of conversations rather than in IT infrastructure. But as data collection turns increasingly into data deluge, Edge Computing might form the necessary dam that saves the IT ecosystem from disaster.

Are there any vendors you’re excited about in the Edge Computing space? Or is Edge Computing not there yet for you?

Top Answer : AWS