IT

How And Why To Implement Artificial Intelligence In Business

Technological development has become a key challenge for top managers around the world. The digitalization of companies is proving to be a real test of strength for top management. And this is especially felt by the leaders who are implementing artificial intelligence systems.

This is where the most questions arise: how exactly to rebuild business processes? How do you explain to people that AI won’t take their jobs? How to establish interaction between employees and their software “colleagues”? Most of these solutions require not only the intellectual work of the team but also the initiative from the top management.

1- Identify The “Pain Points” In Your Organization

You should never introduce technology “for the sake of technology” or “because the supplier made a good offer.” Artificial intelligence must solve problems that will allow the business to gain a competitive advantage in the long term. And it is the top manager who must identify them.

For many companies, this “pain point” will be demand forecasting. Artificial intelligence systems are already doing an excellent job of this task by analyzing data sets. For example, one of the largest companies in the field of healthy eating was able to increase the accuracy of forecasts by 20% only due to the introduction of AI.

For other companies, the pain point is poor customer service. If an essay writing service faces this pain, they will lose clients and orders such as write my assignment. But artificial intelligence in this case will help to improve the attitude of consumers towards the brand by timely offering a personalized product/service at the right time.

2- Organize An Innovation Center Within The Company

An important part of transforming a company is creating a culture of experimentation. Technological development is an ongoing process, so the leader needs to change his attitude towards unsuccessful experiments. As in science, in a new business, failure is not a failure, but a valuable result.

Of course, the culture of innovation must be reflected in the organizational structure of the company. In practice, it is necessary to create working groups or even internal startups that develop and apply new technologies and approaches to business.

3- Create A Retraining System

Implementation of artificial intelligence systems is often accompanied by discontent and misunderstanding on the part of employees. Therefore, it is not enough to be just a “top manager”, you need to be a leader.

In the era of artificial intelligence, the value of people, paradoxically, only increases. Processes are becoming flexible and adaptable. And every employee who is ready to learn new skills is worth its weight in gold. When a team has confidence that leadership will help people keep jobs, organizational resistance to AI reduces.

4- Build A Hybrid Culture

Another major problem is that people tend to mistrust the results that artificial intelligence demonstrates. Company employees often question the machine’s conclusions. It is because today in many companies there is a division. Some tasks are for artificial intelligence and others are for the employee.

Here’s exactly what to do first, train key employees to work with artificial intelligence. Tell them what tasks it solves and show the real result in numbers. Second, involve clarification specialists in the work on the corporate culture.

5- Reduce The “Zone Of Moral Deformation”

Artificial intelligence solves problems and provides inputs for making decisions, but only a person can take responsibility for these decisions. It is a really serious problem. For example, if a customer receives an unsatisfactory result on the query for help with essay writing. Then the support staff will have to deal with it.

It is important for a top manager that his team understands that the degree of this responsibility is under the control of the company.

Summing Up

All these steps require a complete overhaul of the role of a top manager in the company. In the age of artificial intelligence, it is not enough to be just a “leader”. Businesses need a leader with the will, attention to people, and courage to completely overhaul business processes within the company and launch a transformation that will never stop

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