Young generation and neural networks

The success of sales teams will now depend Young generation and neural on a combination of two key factors: the adoption of artificial intelligence (AI) and collaboration between generations. Younger generations, such as Generation Z, are quickly adapting to new technologies, including. AI, and using them to improve customer interactions and speed list to data up work processes. At the same time, older generations are beginning to realize that. AI allows them to reduce routine workload and focus on strategic tasks. The difference in generational approaches plays an important role in the formation of productive and innovative sales teams.

Differences between generations

Commercial Director of the company “Autostrong-M” Dmitry Sukhina, in whose sales department SalesAI artificial intelligence was implemented, shared his experience of working withdifferent generations of employees:

Zoomers are the younger generation who have Young generation and neural been surrounded by technology since childhood. These employees easily adapt to new tools, be it CRM or neural networks. They readily accept innovations and are ready to use. AI in their work. They readily connect to dashboards and join the competition with other  what legal changes are coming your way in 2018? managers. However, zoomers often lack experience and a deep understanding of processes. Which can reduce their independence in solving complex problems.

The Impact of Neural Networks on Work Efficiency

As Dmitry’s experience has shown, neural networks have proven to be an indispensable tool for working with different generations of employees. For zoomers, a neural network is an opportunity to prove themselves and accelerate career growth. For millennials, it is a tool for increasing their own efficiency and monitoring the quality of work. And for singapore number boomers, it is a way to reduce routine work and focus on more strategic tasks.

We invite you to the webinar

We will discuss the full history of the implementation of neural networks in Autostrong-M, how the management and team adapted, what results they got and what the company plans to do next at our webinar on October 23.

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