Illustration: © IoT For All
As has been an end-of-year tradition at IOTech, we are trying to polish our crystal ball and look into what the upcoming new year brings to the edge/IoT industry. Ever want to be humbled? Makes some predictions about what is going to happen in the coming year and then looks at it next Christmas.
It is a tall order, but we pride ourselves on being edge experts and our past predictions have been more correct than they have been wrong. So on to 2024 edge IoT predictions we go…
Edge IoT 2024 Predictions
#1: Edge/IoT Solutions Take a Vertical Focus
The first edge IoT prediction of 2024 takes a vertical focus. Due to the complexity of edge and IoT computing, companies are looking for product sets (and the organizations that create them) that satisfy more of their needs.
They don’t want the challenges of having to assemble an edge solution from lots of disparate parts. They would like an easier path where someone gives them something closer to the whole solution. This same problem is now more acute as organizations are looking for vertical specialization and looking to find edge products that already cover the specific needs of their industry.
I think it’s inevitable. For organizations purchasing edge solutions, it makes sense. Solutions offering more out of the box can mean less effort and products that get to market faster.
Yet, this can be a challenge for solution providers. How many vertical slices of the product can be effectively supported in a cost-efficient manner? How much industry expertise needs to be hired?
In 2024, solution providers face tough decisions, aligning with specific industries and vertical markets for success.
#2: Security Concerns, Practices, & Application of Standards
Last year, I predicted that OT Edge Security would become a thing. Security solutions are not all there yet, but security has become a focal point for organizations building edge solutions.
In the past, edge security was overlooked or haphazard; largely because projects were still in prototypical or proof-of-concept staging. Minimal protections were enough to get organizations to explore, if not productize, solutions.
Organizations now inquire about security integration, threat models, certifications, and security audits for products and solutions.
However, edge solutions are typically the assembly of many ingredients from disparate suppliers. So too are the security considerations and products. As an edge community, we haven’t quite defined our chief threats and therefore how and what we want to defend against.
Security audits still focus on things like security code scans. As an edge engineer, my major worry is a grudge holder near a cheap sensor impacting costly equipment.
There are plenty of security products emerging. Security standards, certifications, and audits often don’t fully suit the diverse nature of end-to-end edge solutions.
The edge industry must pinpoint threats, unite around top solutions, and standardize certifications to ensure robust edge security in architectures.
I don’t think this is going to happen in a single year, but I think 2024 will establish itself as the year that more edge solution companies will cooperate to start – dare I say – edge security standards.
#3: Generative AI Is Not Going to Take Over the Edge
2023 has been the year of AI. It has been in the news, in your emails, in your entertainment, potentially impacting your government (certainly politics), and your finances.
In particular, all sorts of new generative AI technology and products are creating all sorts of new content, images, videos, etc. This technology has captured imaginations and financing as organizations try to figure out how and where to apply it.
I’ve lost track of the number of writers or industry analysts that have asked me “How is generative AI impacting the edge.” It is one of the easiest questions I get to answer right now, but I also know the answer disappoints me a bit due to the hype of AI.
Speaking, it doesn’t impact edge. Generative AI aids edge code creation, but its impact remains small and indirect in most cases.
Frameworks enhance generative AI for code generation, offering practicality and simplicity with well-defined, documented interfaces.
The edge creates its own “content.” So generative AI isn’t impacting right now. What is needed? Analytics, and yes, potentially some AI to help digest and understand all the edge data – because there are typically lots of it.
The good news: there is a high level of return on edge investment by just using some simple analytics on edge data. So, AI isn’t required to get started.
I made the prediction last year that edge solution providers would discover the fact that not everything requires AI/ML technology at the edge.
Despite the 2023 AI hype, I believe simple edge data collection and actionable analytics outperform applying AI, especially generative AI, at the edge.
Utilize generative AI for a PowerPoint deck illustrating how your non-AI edge solution boosted company profits.
#4: Open Source at a Crossroads
Those who know me, know that I wholeheartedly support the creation, curation, and adoption of open-source software. With apologies to Winston Churchill, I borrow and paraphrase: open-source software is the worst form of software creation except for all others.
Open-source software is particularly important in providing baseline capabilities and ad hoc standards that enable the creation of a rich set of commercially viable products. It saves industry resources (time, energy, money) by giving everyone a better starting point and avoids having to reinvent the wheel.
Unfortunately, I am seeing too many organizations – particularly large technology organizations – reduce or abandon their open-source support. In some cases, they will use a lot of open-source software, but without seeing a need to support it in any way.
We are also seeing organizations that created an open-source product decide that they are not getting enough return on the open-source investment. So, they changed the license of that product. They are moving from business-friendly licenses like Apache and Mozilla to business source licenses (BSL).
While it’s a necessary step given the lack of organizations supporting (with people or financing) the open-source efforts. That’s why I am biased toward open-source software that is created by an ecosystem versus a single company. License changes create lots of confusion or worse – disillusion with the open-source ideal.
Questions for Your Software Team
Edge and IoT open-source efforts are under the same pressure. Company leadership has to have an eye on the bottom line and “return on investment.” The impact of open-source efforts on a company’s balance sheet is not easy to draw out. I worry that some of the open-source edge/IoT projects may disappear in 2024.
I encourage leaders to ask your software teams a couple of questions:
- What open-source software are we using in our edge solutions?
- What would happen if that software were to go away or not continue advancing? Specifically, what would we have to (re)create from scratch if it wasn’t there?
Rather than asking how open-source is adding to your bottom line (a dubious proposition) find out how important it is to your efforts. If you find you are using open-source edge/IoT software and it is important to your software solutions, then find a way to step up and support it before it is too late.
Other Predictions & Doubling Down
Last year, I made a few other predictions. I would say that some of these predictions have yet to fully materialize. But I am sticking to my guns and doubling down on my prediction. Meaning, I still think these predictions hold for the edge IoT in 2024 (we’ve already seen some bits of evidence that suggest these are not bad bets).
Hyperscalers Reinvent and Disrupt at the Edge
Cloud and other hyperscalers have made several attempts at being bigger players at the edge. There have been a lot of noted failures and abandoned efforts in the last few years.
Let’s face it, hyper scalers know how to do scale, they just need to abandon the “send it all to the cloud” mentality and figure out how to provide more value to companies building edge/IoT solutions.
CNCF Figures Out Edge Native
As I said last year, there have been and continue to be more CNCF efforts to extend cloud-native to the edge. But it’s not enough to just try to shrink products like Kubernetes.
The edge, often resource-constrained and having unique challenges in security, networking, and connectivity, requires some new approaches and architectures. At the same time, IT and OT convergence requires CNCF to participate and embrace cloud-native to edge native.
Consolidation
The economic conditions of 2023 made big bets on edge/IoT tough. Companies are emerging from a challenging year and want to accelerate their edge/IoT solutions. Sure, companies are spending and betting big on AI.
When will they realize that those AI engines are often fed by data coming from the edge of the network? When will they realize that decisions made by AI need to be actuated at the edge to be effective? I predict that the need to accelerate company efforts in edge development and the value of IP and industry experts available in edge solution companies will result in some purchases and consolidation.
Like AI, edge/IoT, and OT skill sets (and IP) are not always part of an organization’s native capabilities and are not easily developed. And given the current economic environment, some of this IP and expertise can be obtained at a bargain price right now – especially in comparison to what we have seen in the AI field.
Conclusions
My 2024 predictions include a shift in edge/IoT towards vertical solutions, increased focus on security standards, a realistic view of generative AI’s impact at the edge, and concerns about the future of open-source support.