Throughout Europe we need to change our mentality around 'close the digital skills gap'. If we spend too long regretting it, we will stay further back.
Instead of considering the challenges ahead as a gap that needs to unite in a traditional way, we need to draw a completely new route, something that we can do using tools now available to us, such as technology without code. The skills gap no longer exists in the way it used to do it, because the solutions themselves have changed.
That is not to deny that in Europe we face a talent drain. The last years have seen us lose some of our brightest minds to companies based in the United States, and the reasons for this go beyond the payment package.
Something that we could learn from our cousins throughout the Atlantic is how to create a more positive culture around the failure and lessons that this teaches us. Trying and failing is not automatically bad as long as the same mistakes are not continually repeated. Crucially, failure indicates learning and is a key aspect of innovation and progress.
Fail up fast and hard or fail anyway
Business culture in the US The most innovative solutions to commercial challenges. In general, this discourages business spirit and investment and makes it more difficult to finance innovation, which contributes to the talent to go elsewhere.
Companies of all sizes are increasingly facing the challenge of finding people with the set of appropriate technical skills. However, 'closing' this skills gap with a new cohort of newly trained programmers will not solve all their problems.
Let's be specific. In real terms, for most of today's business leaders concerned with complying with orders and keep customers and shareholders happy, having access to the right data at the right time is key when making decisions. They need a set of digital skills in their organizations to promote processable and significant ideas. Most realize that they can use AI to do this, but that is often the farthest.
Taking advantage of AI is no longer just about understanding that specialty, but a powerful combination of software development skills and data integration and integration understanding. And software skills themselves are changing as the tools available for us become increasingly sophisticated.
Why innovation begins with her
In him we constantly look forward. Part of our work is to anticipate the next great challenge and the next solution for a problem, but in almost all the roles I have had in my career, a large part of the work has been to deal with inherited solutions. They just don't go anywhere. Any new and exciting technology that arrives has to fit together with the existing systems that support the processes of a company.
Solutions without code are particularly good to do so, since they provide construction blocks that work with older and more new technologies and systems. They allow perfect integration without extensive coding, which makes it easier to update and improve inherited systems.
The other thing that has changed within business technology is that technical decisions are no longer the reserve of technical experts. A technical base remains vital for some jobs, but not for everyone. These decisions are often fundamental for the way in which a business is executed, which means that they should be done with a broader commercial understanding and an appreciation for what the client needs, instead of a purely technical one.
Actually, an experience in software development is becoming a minor requirement to solve technical problems, thanks in part to solutions without code, as well as other AI automation tools. The understanding of how these solutions work in the broader context of the business is crucial for successful implementation and adoption, and for the best results.
The type of abstraction and automation approach that the tools of AI and non -code enable the way to solve the “problem” of the digital skills gap. Hug the need to program specific fields and provide the ability to make something visual and easier to understand help to open the playing field to include those with less technical experience.
For example, a logistics company may need its shipping processes to continue complying with regulatory requirements, but face complicated programming challenges. Through the use of a solution without code, combined with the commercial experience of the personnel to produce the type of commercial logic necessary to navigate the low margins that companies in the middle market often face, they can avoid being trapped with problems that cannot be fixed with manual work alone.
This type of situation is where data integration is particularly valuable, because from the commercial point of view, the data only means something if applied to a challenge or processable problem in a commercial context. Abstraction and automation allow people to concentrate on what matters. IT professionals spend so much time in complicated problems and can forget that they are helping to boost commercial results. They must receive the tools to concentrate in the right way.
Take the most of the innovation opportunity
However, we are not talking about complying with something that is the second best. This is a new and brave world, and making the most of the solutions without code will cause a lot of positive secondary benefits, and perhaps even involuntary.
The first is diversity. Computer science remains a field that is often inaccessible to many, and although this is changing slowly, the simple fact is that non -code is easier to learn and, therefore, more accessible to people of all origins. The ease of use of tools also means that more people begin to explore their possibilities, causing more interesting and disruptive solutions used by a broader range of people.
A second benefit over high is to solve challenges around aged workforce. Many employers face a knowledge gap when employees for a long time retire, perhaps taking them decades of experience and institutional knowledge. Financial institutions, supply chain and manufacturing companies often have old systems that still generate data. Solutions without code can help fill those gaps when people who built some of yesterday's systems, but the software is still used.
Appreciating benefits such as these that extend beyond efficiency helps us jump the barriers for adoption more easily. Often, technical experts doubt when it comes to abstraction because they think it will mean less freedom and flexibility and, therefore, are resistant. We see this all the time when it comes to finding new ways of doing things: you must see it (and appreciate how long I could save) to believe it.
Our days dedicated to discussing the digital skills gap are numbered. IT professionals of the future will still include encoders, but we will see much more convergence of technical and commercial skills in the workforce of the future. This, in part, will happen organically: today's young people are much more interested in taking possession of their digital trip, but will undoubtedly be helped by a more widespread use of tools and ia solutions that automate certain tasks and processes faster that you. You can say 'abstraction'.
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