We will discuss what we should do to build a data-driven company, the goal of digital transformation we discussed in the previous issue. Let's find out what we should drive as data, how to remove inhibitors along the way to achieve operation based on data, and how to create enablers.
We will discuss the topics of digital transformation, which is now a familiar concept and promoted by many companies, and how to promote digital transformation.
The collaboration tools, which share tacit knowledge within the company and help collaboration, maximize work efficiency.
As AI technology advances, the demand for AI services is increasing. The process of building an AI service involves a lot of work. For example, one of them includes creating a correct answer for training and finding a model with high training efficiency. The performance of AI technology will be compromised if activities in the process, albeit small one, are performed negligently. As a result, many researchers and developers still carry out the work manually. Of the numerous tasks involved in the process, the most basic and the most labor- consuming task is labeling, which involves making a correct answer for the data.
With COVID 19 pandemic driving the need for digital workplace, it is becoming more important to integrate into one system information of various quantity and quality scattered across company and to search for right information for timely insights. In response to these demands, there is a growing interest in Question Answering (QA) system that is adept at smartly answering users’ questions with respect to a large volume of documents. This is a reason why the need has emerged for natural language processing and natural language understanding technology such as machine reading comprehension and semantic search that are associated with finding the right information quickly and accurately.