アステリア Company Overview

In this seminar, we will introduce "Platio Connect," which allows you to easily create mobile applications and automate data integration and utilization with internal systems without coding. We will also share demonstrations and case studies of companies that have successfully improved their operational efficiency. If you want to effectively utilize on-site data as internal assets, leverage internal data on-site, or are interested in promoting DX (digital transformation) in the field, please join us.

While you may want to advance your DX using data and generative AI, do you face challenges such as "the data infrastructure is not in place" or "there is a shortage of personnel who can handle data"? Recently, with the rise of "AI agents" that autonomously utilize internal and external data to complete tasks, there is an increasing movement to allow not only "humans" but also "AI" to handle data, thereby enhancing the value that business operations can enjoy. For AI to perform advanced reasoning, it is essential to integrate "unstructured data," such as documents, emails, and videos scattered throughout the organization, along with structured data, and to provide a "data infrastructure ready for AI" that is secure and fast. However, existing DWHs and data lakes often fail to meet this requirement. In this seminar, we will define the necessary elements for an "AI Ready data infrastructure." Additionally, we will delve into the strengths and characteristics of the data platforms "Databricks" and "Snowflake," which can make these elements a reality, in a panel format. We hope you can utilize this as a hint to advance your company's data strategy.

The current manufacturing industry in Japan has entered an era where it cannot survive in a competitive society without engaging in value-added operations within limited human resources and time, which is why the necessity of digital transformation (DX) is being emphasized. This seminar will introduce the know-how to promote DX in the manufacturing industry through three steps: digitalization of operations → data utilization → business improvement, starting with an explanation of DX in manufacturing.