Robots and Humanity: How robots can humanize management?

Nov 06, 2020 / by Dirk Strubberg

Humane work must meet the needs of people, contribute to the development of their potentials and promote their competencies.

A robot can contribute a lot to humanization by freeing people from frustrating work and its AI helps them to make better decisions. In industry, robots have long since found their place at the side of humans, even if they are not yet particularly smart there. In administration, automation has barely got off the ground. And in management, artificial intelligence and machine learning are popular buzzwords, but you barely find any companies where a robot has a place in the board meeting. Can robots support management in frustrating tasks and unleash creative potential?

I think they can and they will. Because a modern organization is nothing more than an information processing system. To further humanize the work of management, they need i) a modern operating system, ii) applications with embedded robotic and machine learning capabilities, and iii) continuous updates for the mindset.

i) operating system

Taylorism was the old operating system. Its ideal is the fulfilment of the norm, the absence of deviations, the increase of efficiency. The post-tayloristic age has a new paradigm: it assumes that an organization resembles more an ecosystem than a machine. The new operating system focuses on the constant adaptation to a changing environment, the alignment of all processes to the needs of the customers, the foresighted creation of strategic options, the increase of organizational resilience. Thus SAP with S/4HANA is increasingly developing into such a new operating system, which first changes the processes and thus also the management culture of the companies. The Scaled Agile Framework SAFe is another proven operating system for modern companies. However, its introduction must be managed as professionally as a complex SAP transformation.

ii) applications

Companies are increasingly dependent on the help of machine learning and AI for good decisions, because Big Data generates a flood of data that can only be systematically analyzed by algorithms and correctly evaluated by experts on site. More and more enterprise software is therefore integrating AI features, for example the Salesforce AI "Einstein" or the recently patented Qentinel "Quality Intelligence". In software development, it allows the precise prediction of the quality of release candidates on the basis of data collected by test robots, among others. The behaviour of customers can also be better and better predicted by ML-supported analysis of customer experience data. Another major research area is the industrial Internet of Things. Our goal is the prediction of production quality in industry based on mass data, which has long been generated in vast quantities, but has so far only been evaluated rudimentarily at best.

iii) users

Even the minimum of management will need regular updates in the future. Or would you paralyze your fully networked cloud system with local programs from the last century? The World Economic Forum stresses the enormous importance of new skills for the near future, above all the ability to solve complex problems through critical, collaborative and creative thinking. In other words, tomorrow's management urgently needs a better understanding of how complex networks work. Unfortunately, this ambitious update is far from being translated into sufficient training opportunities; it is therefore the biggest challenge. But this should not discourage us, but motivate us: The more companies and management open themselves to the new requirements, learn new skills in addition to implementing new systems and integrate them into their daily business, the more humane and at the same time more effective and resilient our work will become.

We are happy to tell you more how Qentinel Pace robots can help you to unleash your creative potential!

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Topics: Qentinel Quality Intelligence, Quality Assurance, Machine Learning, Software Development, AI

Dirk Strubberg

Written by Dirk Strubberg