DT for new biz

From DALL-E with some prompting
The image is a diagram that illustrates the process of digital transformation for discovering new business opportunities through the digitization of data center operations. The stages included are as follows:

  1. Digitization: The initial step of converting data into digital form.
  2. Digitalization: The process of enhancing operational know-how and creating new value through the experience and analysis with AI, as indicated by the phrases “Exp & Analysis with AI” and “Selling EXP and more!!”.
  3. Digital Transformation: The stage where insights and ideas gained from digitalization are actualized into new business changes.

At the bottom of the diagram, the phrase “All New for DC By Digital(data)” is accompanied by four boxes labeled Design, Deployment, Operating, and Customer. This indicates that all components of business operations are undergoing new changes based on digital data. The “NEW” marker emphasizes the new business opportunities that arise through digital transformation.

The diagram visually explains how transforming existing data into a digital format and using technologies like AI for analysis can improve operational knowledge and, as a result, generate and implement new business ideas. It specifically highlights that digital transformation in data center operations can provide opportunities for uncovering new business ventures.

New BIZ ?

From DALL-E with some prompting
This diagram explains the process of finding new business opportunities from the perspective of digital transformation. The first step, ‘Digitization,’ involves converting real-world information into digital data while ensuring data quality. The next step, ‘Digitalization,’ extends the use of digital data to enhance automated processes. By executing these two steps, new opportunities can be discovered, and through ‘Digital Transformation,’ these discoveries can be converted into actual innovations. Overall, this process presents a methodology for leveraging digital technology to innovate business models and create new value.

Digtalization

From the Bard with some prompting

The digitalization process is the process of converting analog information into digital form. This can be done for a variety of purposes, such as storing data, processing information, or transmitting data.

Digitalization process diagram

The digitalization process can be divided into five main steps:

  1. Data collection: This is the process of gathering the data that needs to be digitized. Data can be collected from a variety of sources, such as paper documents, files, images, or videos.
  2. Data preprocessing: This is the process of cleaning and formatting the data so that it can be analyzed. This may include tasks such as converting data formats, removing duplicates, or filling in missing values.
  3. Data structuring: This is the process of organizing the data in a logical way. This may involve storing the data in a database, or organizing it into tables or tree structures.
  4. Data analysis: This is the process of extracting meaning from the data. This may involve tasks such as identifying patterns, developing predictive models, or making decisions.
  5. Data visualization: This is the process of presenting the data in a way that is easy to understand. This may involve using charts, graphs, or maps to visualize the data.

The digitalization process can be used in a variety of industries. For example, it is used in manufacturing to track production data, in finance to analyze financial transactions, in healthcare to store medical records, and in government to track public records.**


Requires 4 Digitalizations

From DALL-E with some prompting
The image appears to be a flowchart or diagram explaining the requirements for digitalization. It starts on the left and moves to the right, outlining the transition from traditional facility-based operations to data service-based operations.

  • Facility-based Operation: On the top and bottom left, there are icons representing a computer and servers, symbolizing traditional facility-centric operations.
  • Operation Digitalization: In the center, there is a process that represents the transition of these facility-based operations to digitalization. It is labeled ‘Operation Digitalization’ and includes elements like data analysis and service development.
  • Data Service-based Operation: On the top right, icons representing modern data services like cloud computing illustrate the shift from facility-based to data-centric operations.

The bottom section includes the following detailed elements:

  • Enhancing Data Precision & Performance
  • Data Analysis System
  • DC Service Development
  • Data-based Operating

These elements are linked to the required experiences from traditional facilities (Facility Exp) and DC development (DevOps) as well as operational experience (DC Operation Exp). These components emphasize the various skills and experiences necessary for a digital transformation.

The overall diagram provides a high-level view of the different aspects of the digital transformation process, emphasizing that this transformation requires not only technical and operational capabilities but also a change in organizational experience and knowledge.

Software system

From DALL-E with some prompting
This image seems to describe the concept of a software system. It emphasizes that the system should not only operate mechanically but must also integrate and understand expert knowledge and human processes through digitalization.

At the top of the diagram, there are images of a computer labeled ‘Just System’ and an expert labeled ‘Expert,’ suggesting that traditionally, systems and human experts operate separately.

In the center, within a large framework labeled ‘Digitalization,’ the ‘System’ and ‘Expert’ are interconnected. This represents the need for systems to understand how machines and systems work and what is desired during the digitalization process.

At the bottom of the diagram, the phrase ‘It’s not just system. All works by systems. So, System must understand real works.’ highlights that the system is more than just mechanical operation; all work is done through systems, and therefore, the system must understand the actual work.

Digital Service

From DALL-E with some prompting
The image outlines the workflow and components of digital data services. It begins with data collection from various sources, which is then subjected to a verification process to ensure its integrity. The verified data is stored in a database and undergoes the ETL process (Extract, Transform, Load) to be formatted appropriately for analysis. This data is visualized to facilitate insightful analysis, which then feeds into an AI learning process. The outcomes of this analysis are applied in the service stage where established processes are confirmed and automation tools are implemented to deliver the final service. The AI model, refined by learning from the data, plays a critical role in enhancing the precision and efficiency of the service provided.