Credit: BecomingHuman
In everyday life, executives have to do one thing above all else: make decisions. These are usually based on experience, expertise and personal views. Artificial intelligence, on the other hand, objectively evaluates an almost unlimited amount of data. So why do we still need human expertise in the future?
The basis for strategic decisions within a company is above all facts and figures. It benefits from the fact that in times of big data more data than ever before exist. However, harnessing these has been associated with high costs and lengthy processes. Artificial intelligence is able to scour an initially unmanageable amount of data for humans within a very short time, to recognize patterns and to derive recommendations for action. In this respect, AI provides faster, more numbers and facts than humans, optimizing itself continuously. What is important here: People have to ask the right questions so that the AI can provide the appropriate answers.
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Because of these advantages, which AI has in front of a man, the question is whether a man can be replaced by artificial intelligence in the long term. Most of the time, the focus is on those areas that do not require the interpretation of information, but just a quick, accurate execution of commands based on data obtained. Such work processes are already automated such as in logistics or in production. A product must be manufactured as quickly as possible and reach its destination in the most efficient way, without any interpretive services being required. However, when it comes to choosing a corporate strategy or even unpredictable dynamics. So here lies the essential difference between artificial and human intelligence:
That is, if information obtained by an AI is made meaningless and cannot be targeted, it is worthless. It is important to check the information for their relevance to the target. It is the person who manages to keep an eye on the big picture. The path to this can be taken by changing the plan as long as the goal is reached at the end. New, creative solutions to a problem are also conceivable. AI just follows the given algorithm. Inevitably, the same results always occur with a certain amount of data. Ingenious ideas or a necessary change of the previous, seemingly perfect strategy find there no place. That requires human intelligence.
Why is human expertise irreplaceable?
In summary, therefore, man is superior in two essential points: creativity and flexibility. The former means to be able to look at something from a new angle and to find a solution that does not have to correspond to a given pattern. The latter means, however, to be able to react quickly to new influences in terms of work technology. In addition, an intrapersonal and interpersonal intelligence is guaranteed, which allows us to understand our counterpart and the respective conversation situation and to be able to react accordingly.
Both are important above all in areas that require a high level of expertise and personal interaction. For example, in market research, the demand for specialized niche knowledge is extremely high. This is partly because they are areas that are too complex for AI, the amounts of data that would be important for a corresponding analysis, often not available in sufficient form and some areas are still completely unexplored so that only one expert reliable judge what the right decision is. Accordingly, AI can be supportive by providing information when enough data is to be analyzed, which is then interpreted by experts.
Rules break as a factor of success
KI is designed to find correlations in large amounts of data. This facilitates a lot of work in many areas. AI can not afford these rules, which ultimately are the programmed algorithms, and thus break a path that no one has gone before. Man, on the other hand, uses his expertise to identify future changes or to implement a particular vision that can not always be explained logically. So an interaction of artificial and human intelligence would be the optimal solution for companies. The ability to process a large amount of data and provide a wealth of information and human interpretative abilities to counteract the derived recommendations for action and bring about disruptive developments.
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Credit: BecomingHuman By: Rob Miller
