The use of Big Data and AI will change our everyday work more. When used correctly, they not only can drive the level of automation, but also contribute to more humanity. Regardless of whether Big Data and AI help a commuter to navigate an expert or not, they relieve the peoples from repetitive and error-prone tasks. The more Big Data and AI are been applied to everyday problems, the more it becoming clear that machine and human intelligence must work together to achieve the excellent result. People teach Big Data, Machine Learning to understand relationships and patterns so that algorithms can make fair, ethical decisions. The blind rationality of AI helps to overcome humane wrong decisions, such as confirmation errors or the tendency to interpret information in such a way that it fulfills own expectations.
As interfaces such as voice recognition make it easier for people to talk to the machines, the decision-making improves and consumers can expect better service. In business life, AI already takes on everyday tasks such as expense reports, but also complex data analyzes and relieves employees of boring, repetitive tasks. The change in professional fields initiated by technology is nothing new. While skills such as typing, typing, correcting spelling and a well-groomed appearance were previously required, today’s office manager has often completed commercial training and is fluent in foreign languages. Thanks to the Internet and the computer, most of the managers write their own letters and the office manager takes care of more demanding tasks such as creating a presentation or project management. AI will follow this path and relieve employees of routine work so that they can increasingly do more sophisticated work or just those things that are often put on hold due to lack of time.
Artificial intelligence (AI) holds enormous potential for companies, for example when it is used in personnel management. With AI technology pervading all levels of the company today, HR managers need to work with other managers to develop automation strategies for individual teams.
AI is forcing to rethink the workforce: it’s no longer just about hiring people. Rather, human and artificial intelligence must be combined to maximize productivity. A very important aspect of using AI is to put the pursuit of more efficiency in relation to the actual possibilities. Just because a process can be automated does not mean that you should do it. This also applies to human resources.
AI can be very helpful for the security of the company. Many companies use AI technology to continuously monitor applications, systems and infrastructure and to detect and evaluate abnormal behavior in real time. AI should be used in hiring and staffing plans. It is important to exploit contextual data and technologies in order to tackle problems such as high fluctuation rates, to better understand employees and to use the existing pool of talents more effectively. This is the only way to make work smarter, more enjoyable and more collaborative – and ultimately also more value-adding.
Artificial intelligence is also becoming increasingly important in recruiting. Recruiters use AI to find out what skills the company currently needs and where to find suitable candidates. With the help of AI, time-consuming tasks such as the manual screening of resumes and applicant pools can be automated. Powerful and integrated AI functions and clear processes help to create a user-friendly and personalized candidate experience in HR management from the first contact to recruitment and integration. State-of-the-art machine learning applications help human resources to shorten time-to-hire by proactively pre-selecting the most suitable candidates and making recommendations.
Chatbot can be a data source that companies can use to learn more about their employees. Machine learning analyzes of questions and conversations can provide unique and previously impossible insights. In this way, underlying problems can be uncovered – and maybe even before the employee is even aware of them. However, AI is more than just having to work fewer hours. Less multitasking means less stress. Employees can better concentrate on tasks that contribute positively and visibly to the success of the company. That is why many employers increasingly rely on results rather than on attendance.
However, we should not be complacent when using AI. Even though many studies say that AI will create more jobs than it will destroy, the effects in the relevant professional fields must still be controlled. Professions with physical work such as factory workers, farmers and truck drivers understandably fear the progress of technology. In the mass market industries, technology has often – but not always – completely replaced the clearly defined tasks of many shift workers. Employers and governments need to work together to honestly inform workers about the development of threatened jobs. Qualifications and other measures must help those affected to adapt to new requirements and develop new skills for the future.
One area in which we run the risk of inappropriately automating is customer service : for example, call center employees, bank managers or social service providers. Most will agree that automating simple transactions, such as withdrawing money from ATMs, has worked pretty well. However, more complex and larger decisions, such as building and home insurance, or choosing a credit card, usually benefit from the involvement of someone who guides them through the decision-making process.
Surprisingly, AI can help make customer service more humane in those areas that are at risk of excessive automation. Finding the right product or service and offering it to a customer with complex needs at the right time at a certain price in a special place is difficult. Regardless of whether it is a matter of making a medical diagnosis or recommending home insurance, AI can provide service staff or medical staff with the data they need to provide personalized information and expert advice tailored to people and their needs. Unfortunately, there are no simple formulas for applying AI to the job market. While it is becoming apparent that AI is more positive for knowledge workers, others need support to adapt and evolve so that they are not left behind.