Tag Archive

FutureofWork_TÜVRheinlandAcademy

The Future of Work 2030: The Machine Thinks, the Human Steers

When it comes to the future of work, the Institute for the Future (IFTF) in Palo Alto, California is convinced: “There will be a new partnership between people and machines that increases productivity. Human intelligence cannot be replaced. On the contrary, the work of the future will require new skills from employees.

The potential for future collaboration between humans and artificial intelligence (AI), robots, mobile end devices for augmented reality and blockchain can already be seen in the existing basic technologies. For the IFTF, this collaboration at the workplace already begins with recruiting. They predict that the partnership of personnel with AI will allow more equitable selection processes to select candidates according to their skills and not according to gender, age or other biographical characteristics. The algorithms would also replace all too human prejudices in the composition of teams with a clear analysis of the machine, which puts together optimal teams from a variety of skills and personal characteristics. This leads to an increase in work productivity, a better working environment, and more intensive employee retention. As many as 67 percent of the managers surveyed by the IFTF can imagine using AI in the future to achieve more equal opportunities.

Enhanced skills through machines

If AI prevents hidden discrimination in personnel work, it will expand and supplement human skills in other contexts of work. For example, 70 percent of IFTF executives would like their employees to work with machines and robots to overcome their human limitations. At BMW’s mini-production facility in Oxford, for example, collaborative robots are already working together with people. Such CoBots are equipped with sensors so as not to injure their flesh and blood colleagues. However, colleague AI could also replace employees if they are not enabled to collaborate with AI. Especially for the use of AI for the analysis of large amounts of data, the employees also need the corresponding skills. In a 2019 study, Price Waterhouse Coopers asked 500 decision-makers which employee skills were relevant for AI use and to what extent. 81 percent felt that employees needed to understand the potential and limitations of AI. 80 percent each mentioned knowledge about secure and transparent AI as well as understanding and knowledge about data-driven business models. Few companies, however, have the correspondingly trained employees. For this reason, the introduction and successful use of AI will only succeed if companies simultaneously qualify their employees for the application. For the AI to be useful as a colleague in a team, it must be programmed with algorithms to suit the task and be equipped with the correctly formulated task to extract useful information from large amounts of data. This also makes it clear that human intelligence has to control what the AI then has to process.

Enhanced reality for more productivity in teams

This need for training will also be triggered by a third technology that has already made its breakthrough in the gaming sector. Augmented and mixed reality with data glasses or mobile devices will also become established at work in the future, for example in design and planning. 3D visualization in an augmented reality allows building plans to be displayed in a room in which entire teams are simultaneously working on a complex problem. According to experts, the technology has great potential to increase team productivity in development tasks. In the IFTF study, 86 percent of executives said that they were planning to use new technologies to improve employee productivity.

AI deployment will not be successful without human intelligence

Artificial intelligence will be irreplaceable in many “human” activities in the future: disease diagnosis, language translation, customer service, data analysis, production, design and maintenance. But the algorithms will be written by humans, who in turn will have to monitor the AI. To do this, they need skills that hardly any university teaches today. But without human intelligence, the use of AIs will not be successful. For this reason, companies must first make their employees fit for AI use.

Competence Management TÜV Rheinland Academy

 

TÜV Rheinland Academy_from professions_competencies

New Work: From profession to competence

If you’re going to remain competitive in the labor market, you have to develop your competencies. If you want to monetize your workforce, you have to be flexible and willing to learn. Hardly anyone works his whole life in the same profession. This applies to both companies and employees. In the USA, sometimes competencies are already more important than the vocational qualification once acquired. Is that the future?

The ever shorter half-life of once obtained knowledge has been further shortened with the advent of the computer, rationalization, and automation. Since the 1980s,  it has become increasingly clear that lifelong learning is essential in many occupations. The professional idea, which is based on having undergone a clearly defined education and which has since developed further through real on-the-job training, is becoming more and more defensive. Today, the profession is at best an entrance ticket to the foyer of professional life, which after a few years is hardly suitable as a ticket for the next levels of the career ladder.

New Work in the Age of Digitalization

In the developed economies of the West, further development of the professional idea can already be observed in the nineties. In the USA, labor market researchers and labor ministers such as Robert Reich already recognized in the first Clinton Administration since 1993 that the dependent middle class needed access to the labor market even without a university degree. Inspired by the theses of “New Work”, which the Austrian-American social philosopher Frithjof Bergman founded in the 1980s, employment and education programs were developed that no longer addressed the deficits of the rural unemployed, but rather the existing competence that needed to be developed. Starting from the thesis, which has been refuted today, that the job system is at its end, the freedom of action and independence of people beyond gainful employment must be promoted. After the New Work was discussed a dozen times up and down, the term is now experiencing a renaissance with digitalization, but with different signs. Again, the motive is to open access to the labor market to a detached “working class”. Unlike Bergman, however, it is not a question of the emancipation of the former industrial workers in the “Rust Belt”, as the Democrats call them “White Trash”. Rather, it is digitization and the shortage of skilled workers and the associated lack of digital skills in companies that have led to the emergence of new qualification programs in the USA.

TechHire relies on competencies beyond formal qualification

If you can do the job, you should get the job: Since 2015, the social enterprise TechHire has been expanding in the USA, operating over 200 training facilities in 72 municipalities in social partnership with 1,300 employers. The model is similar to a dual training program according to the German model. The experts use online entrance tests to identify competencies and interests. Discussions with potential employers follow this. After a few months of all-day training, the participants complete an internship in a company. A wide variety of local TechHire companies specialize in qualifications in technology industries. Specifically, they have improved matching between job seekers, employers, teachers, policy-makers and local training groups: the online tool “training finder“, developed by LinkedIn’s business network, links relevant information on competence profiles and income opportunities, skills required, training programs and vacancies for different job advertisements.

Thus even applicants who do not formally have any qualifications, but who have acquired competencies even in self-study, have a chance to specifically promote them in order to get them into jobs. Autodidacts, for example, who work on computers in their spare time also have a chance to get a job as a software tester with 40,000 dollars after a qualification. TechHire’s competence-oriented approach has already enabled companies to fill 4,000 vacancies that would otherwise remain vacant today.

Conclusion: Competence development creates a vocation

TechHire and its partners have thus managed in an unbureaucratic and, above all, intelligent way to make a contribution to reducing the shortage of skilled workers in companies and to imparting new individual perspectives to people by promoting competencies. A mission to which TÜV Rheinland Academy has committed itself, particularly in the field of technical professions. Digitalization is constantly creating new requirement profiles for which it is necessary to establish appropriate competence models that enable people and organizations to remain capable of action and to actively shape both the present and the future. Artificial intelligence, digitization and automation will create many new jobs that will have to be taken over by today’s “skilled workers”. The way there is competence development on the job, actively supported by companies that have recognized the value of lifelong learning. It is also important to lay the right foundations in the field of initial vocational training for young people and to start thinking about tomorrow’s requirements today. Application cases of TÜV Rheinland Academy, which as a partner supports governments in various countries worldwide in establishing competence development via the dual training system according to the German model, close the technical education gap between state schools and degrees and the requirements of the industry. In this way, people and companies are actively enabled to master the challenges of digital transformation. In individual cases, personnel certifications ensure that competencies are always up to date and ensure a uniform quality level of the employees in the company.

 

CTA_TÜVRheinlandAcademy_tr-academy.com