How should we evaluate the success of DX?
Clearly define the purpose and goals to be achieved through DX in relation to the targeted issues!
Even when we talk about DX, I think there are various perspectives to consider. By utilizing data and the latest digital technologies, we can create new businesses, achieve operational reforms, or, from a more localized viewpoint, dramatically improve accuracy and efficiency in tasks that were previously performed by humans, such as "demand forecasting," "production planning," and "product inspection," by using AI. However, a common failure when suddenly applying AI to current challenges is a phenomenon known as "PoC death." This refers to situations where, despite conducting a PoC (Proof of Concept) for an AI project, the results do not meet expectations, leading to the project's failure. To avoid such failures, it is important to take sufficient time to develop a DX strategy. *For more details on the column, you can view it through the related link. Please feel free to contact us for more information.*
- Company：アイ・ティ・イノベーション
- Price：Other
