In the words of American author and motivational speaker, Tony Robbins, “complexity is the enemy of execution”. Translating even the most complicated of topics into clear, understandable language is vital to getting things done. Crosser, is designed with this philosophy in mind. Here, Crosser’s CMO and co-founder Johan Jonzon, explains why the company battles against IoT jargon.
projects are complex engagements. OT (Operational Technologies), IT and Data Science businesses are working together on the same
projects, adding buzzwords, abbreviations and technical terminology to the
jargon. All, of course, with the same goal — but different angles, meanings and
Academic research around the use of science and technology jargon indicates that it impairs a person’s ability to process scientific information, which can result in a greater resistance to persuasion, and an increased perception of risk. If people don’t understand a new technology, they are less likely to adopt it, even if it could be beneficial to business.
A cloud of confusion
The world of
industrial IoT is riddled with buzzwords and acronyms that can leave
non-experts in a cloud of confusion. Exacerbating the situation further, the
same words are used to refer to different concepts.
Take the phrase
edge computing, for example. The concept of edge computing is the same across
all sectors — to bring the processing closer to the devices that generate the
data — but its physical positioning and applications vary.
For example, within
telecommunications, the edge is described as the last physical point of
connection in cellular networks. In IT, the edge is somewhere between the data
source and the cloud, depending on the use case. And within the OT sector, edge
is often the first processing point after the machine.
On the application
side, the edge is used as the processing point for analytics, actions and
sending notifications but also for integrations and as an abstraction layer for
the machine data. The edge can also be a very good position for your advanced
machine learning algorithms. One easily understands that here is a risk of
The confusion is confirmed in the data. A 2021 McKinsey survey of industrial company executives concluded that, despite two thirds of respondents using some form of cloud technology in their operations, around 50% found its implementation more complex than initially expected.
confusion also adds complexity to the customer’s buying experience. Every
vendor can claim edge abilities on a generic level, because there are so many
solutions that fit into the concept. So how do you decide which vendor is right
for a designated project?
The use of jargon
is just a barrier to communication, preventing the technology from reaching
businesses it could benefit.
Making the complex simple
Avoiding jargon in
the world of edge computing and streaming analytics is a valuable tool for
enabling non-experts to understand the technology, but it only solves half the
problem. Simplicity must be carried through to the platforms themselves, to
allow users to operate the systems without extensive background knowledge and
Handling huge amounts of data in real time can be challenging under even the most favorable of circumstances. However, the situation is made worse by the global IT skills shortage. According to data collated by IT training company Global Knowledge, in 2020, 78% of managers reported an IT skills gap within their business.
There is simply not
enough talent to fill global IT vacancies, which is preventing businesses from
benefiting from technological advancements. What’s more, technology is
developing at a rate faster than the end user’s ability to learn how to use it.
So, even businesses with software developers in house will struggle to keep up.
In response to this, Crosser’s Flow Studio is a low-code solution, turning existing OT and IT personnel without programming skills into citizen developers — developers without formal training or coding knowledge – enhancing the users operational and functional knowledge instead. The modular system uses a drag-and-drop methodology to allow employees to easily construct data flows with ease, from an ever-growing library of pre-built modules.
The design of the
Flow Studio is intuitive and simple, enabling collaboration between several
business divisions, including IT professionals, data scientists, product
specialists and maintenance staff. By removing unnecessary complexity, the Flow
Studio gives non-developers the ability to innovate without long or specialized
technology is technical, but it doesn’t have to be complex. As an industry, we
need to demystify our technology and its applications by eliminating overuse of
jargon and keeping things simple. By adopting simplicity, Crosser’s products
and services empower businesses that can truly benefit from them across
industry and beyond.