What problems do managers face?
Posted: Mon Dec 23, 2024 6:09 am
Digital transformation and the introduction of AI into everyday work processes are happening everywhere. Almost every company has already done it, is doing it, or is planning to do it. But how to keep innovations and not roll back?
Content
The Role of Generative AI in Digital Transformation of a Company
What role does good talent management play?
On the participation of top managers in digitalization
Final words
Based on the material “In digital and AI transformations, start with the problem, not the technology” by McKinsey & Co
Experts from McKinsey & Co conducted research among the largest modern companies and phone numbers in saudi arabia determined what exactly is needed for the global digital transformation of an organization: to make radical changes in the approach of employees to work, the operating model, as well as tools and technologies for working with data.
What problems do managers face when implementing digitalization?
Most leaders struggle when trying to transform at scale. They already know what technology can do and have launched successful pilots and experiments. But that doesn’t lead them to more effective results.
Why does this happen? The reason lies in the organization of employee work and data management. Changes should affect the company's operating model. However, you need to start by defining the problem you want to solve. According to McKinsey experts, these problems often become increasing the value of the company and the quality of customer service. And if managers can clearly state what problem they want to solve with the help of technology, it becomes much easier to develop a strategy for transformation.
However, a situation may arise in which managers know exactly what they need, but ultimately fail to take full advantage of the technology being implemented. Thus, when implementing a new approach to work, somewhere in the overall system a factor may emerge that will prevent you from fully utilizing its advantages.
For example, artificial intelligence can be used to develop technology to increase the occupancy of cargo space on passenger aircraft. And, let's say, the technology created really does allow us to accurately determine the volume of additional space. But when inspecting the planes, it turns out that they are not flying with the volume of cargo that they should have. Why? The method of placing cargo on pallets at the airport turned out to be not quite right.
Thus, innovative technologies usually reveal a bottleneck in the overall chain of business processes. That is why managers also need to have the skills to identify the negative consequences of their implementation at each stage of the company's operating cycle. And to develop ways to eliminate them.
The Role of Generative AI in Digital Transformation of a Company
As generative AI technology gains popularity, it can feel like some companies are “inventing” problems that it could be used to solve. On the one hand, this is quite normal, because sometimes generative AI literally “works miracles.” And people, seeing its capabilities, begin to think of new directions for its application.
Content
The Role of Generative AI in Digital Transformation of a Company
What role does good talent management play?
On the participation of top managers in digitalization
Final words
Based on the material “In digital and AI transformations, start with the problem, not the technology” by McKinsey & Co
Experts from McKinsey & Co conducted research among the largest modern companies and phone numbers in saudi arabia determined what exactly is needed for the global digital transformation of an organization: to make radical changes in the approach of employees to work, the operating model, as well as tools and technologies for working with data.
What problems do managers face when implementing digitalization?
Most leaders struggle when trying to transform at scale. They already know what technology can do and have launched successful pilots and experiments. But that doesn’t lead them to more effective results.
Why does this happen? The reason lies in the organization of employee work and data management. Changes should affect the company's operating model. However, you need to start by defining the problem you want to solve. According to McKinsey experts, these problems often become increasing the value of the company and the quality of customer service. And if managers can clearly state what problem they want to solve with the help of technology, it becomes much easier to develop a strategy for transformation.
However, a situation may arise in which managers know exactly what they need, but ultimately fail to take full advantage of the technology being implemented. Thus, when implementing a new approach to work, somewhere in the overall system a factor may emerge that will prevent you from fully utilizing its advantages.
For example, artificial intelligence can be used to develop technology to increase the occupancy of cargo space on passenger aircraft. And, let's say, the technology created really does allow us to accurately determine the volume of additional space. But when inspecting the planes, it turns out that they are not flying with the volume of cargo that they should have. Why? The method of placing cargo on pallets at the airport turned out to be not quite right.
Thus, innovative technologies usually reveal a bottleneck in the overall chain of business processes. That is why managers also need to have the skills to identify the negative consequences of their implementation at each stage of the company's operating cycle. And to develop ways to eliminate them.
The Role of Generative AI in Digital Transformation of a Company
As generative AI technology gains popularity, it can feel like some companies are “inventing” problems that it could be used to solve. On the one hand, this is quite normal, because sometimes generative AI literally “works miracles.” And people, seeing its capabilities, begin to think of new directions for its application.