Artificial Intelligence Integration For Modern Management

Artificial Intelligence Integration For Modern Management

The impact of AI technologies on the business can be very positive.. The introduction of the Artificial Intelligence A.I. must be done in an ethical manner, guaranteeing the confidentiality of personal data. Organizations must also place employees at the center of their concerns, and ensure that they can adapt to changes in their role. companies to understand this technological transition and prepare their employees for the jobs of tomorrow, here a business transformation model in four stages.

Automation

This step is essential for businesses.?Advances and lower costs in?self-learning systems?have recently enabled process automation?in sectors where this was previously unimaginable.?Automation also facilitates interactions with complex systems.

For example, the implementation of?Chatbots?able to interact with the employee completely transforms his user experience.?At this stage, the activity of employees who perform repetitive tasks begins to transform.

Companies must anticipate this change and offer?training?to employees whose positions will undergo major changes.?Automation is an opportunity for these employees to focus on higher value-added activities.

Information

The next step is an increasing use of predictive analytics technologies, for?decision-making?and?planning.?Leaders and managers want to rely on these tools to improve their decision-making processes.?Thanks to?natural language processing technologies, there is no longer a need to learn how to use complex query tools.

Employees can now ask questions in natural language such as?"what is the impact of the weather on our sales???.

These analytical technologies exploit a large amount of heterogeneous data.?Cloud computing?coupled with intelligent?algorithms?and advanced analytical applications make it possible to combine data from multiple systems to generate forecasts and reveal trends that would otherwise have remained unknown.

During this stage, it is necessary to develop the?skills?of employees in terms of data analysis, and promote a real transformation of the company.

Discovery

The third stage enshrines a widespread use of intelligent?applications,?the fluidification of daily?tasks?and?decision-making processes.?It's about moving from the question?"how do we achieve what we're doing now more efficiently?"?to "how do we?transform our operations to keep the company performing well in tomorrow's world??.

As the company transforms,?retraining programs?will need to allow employees whose roles will change, to train and take advantage of new opportunities.?These technologies that drive?change, allow the adaptation of employees, by proposing, via intelligent algorithms, personalized training paths.

Transformation

The last step of this process shows the new face of a company entirely shaped around intelligence: from its?business model?to the means of engaging employees, through the?distribution of skills?within the organization.

Through methodical and proactive?planning?implemented at each of the previous stages, employees have developed new skills for more challenging jobs.

The appropriation of A.I. is a long and complex process.

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