Supporting rapid decision-making using data and AI Fujitsu Data Intelligence Basic

Fujitsu Data Intelligence Basic (DI Basic) is an all-in-one platform to tackle business and societal challenges such as; improving customer experience, optimizing energy consumption and reducing cash register fraud. The platform supports rapid decision-making with data and AI by:

  • Consolidating and analyzing data from multiple sources at pace.
  • Building and deploying ready-made AI engines without coding experience.
  • Uncovers insights to turn data into intelligence.

What is DI Basic

DI Basic provides a set of easy-to-use data and AI functions that couples Fujitsu's cutting-edge AI and traceability solutions that tackle various business challenges. Helping you to reduce costs while realizing more value and insights from your data.

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Greater value with data and AI today

DI Basic provides a platform for analyzing features and data in one package.It can quickly provide a combination of templated AI and data analytics functions. To extract greater value from the platform, our consulting and data science support provide a range of services from "Issue Identification" to "Operational Support".

  • AI for Business
  • AI applications that are proven to solve pressing business challenges of our time

  • Rich Templates
  • To provide an all-in-one package including AI functions and data based on accumulated industry cases. (Flexible combinations are possible)

  • Quick to deploy environment
  • Templated various functions can be combined and provided quickly

  • Support for AI and data analytics
  • Consulting and data science support services to extract the best value from the platform

Key Benefits

Enhancing prodctivity and creativity, whilst reducing costs and cutting development time are key benefits of our platform.

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    Shortened lead time to start data analysis

    Data management environments and tools such as ETL, DWH, and BI don't need to be built and deployed separately, and can be delivered immediately upon launch

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    Reduced development and operations costs

    Halved man-hours spend on conventional development*
    *Average reduction of 50% (based on internal examples)

    Easy manage the functions and data sets required for analytics and reduce operational costs

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    Enhance productivity and creativity

    Automatic delivery of timely and easy to understand reports (leveraging GenAI).
    Empower business leaders with data-backed insights to make informed decisions.

Steps in Problem Solving

We support our customers in resolving issues through the four steps of "Identify Challenges", "Trial", "Environment Provision" and "support". Providing optimal and quick decision-making based on insights from your data through effectiveness verification.

Step1
Identify challenges
1 month -
Discovery Service
Conduct hearings on challenges and organize requirements and functions necessary for customer data utilization.
Step2
Trial
2 months -
Discovery Service
Implement MVP (*) in the trial environment, quickly verify the effectiveness, and then examine the data analytics environment to solve problems based on the results.
Step3
Environmental provision
2 months -
Building service, Standard Service
Provides a combination of templated assets (*) that provide the best data analytics environment for solving customer issues.
Step4
Support
Help Desk Service, Managed service
Answering technical inquiries while using the service; Provide support such as answering technical inquiries while using the service, investigation and system maintenance when a malfunction occurs.

(*1)Minimum Viable Product - Product that can deliver the minimum value required
(*2)assets: common analytics functions/data groups

Business Process Change : Data Driven decision-making

DI Basic improves the decision-making process with clear data visualization and analysis.

    • 1
      Person in charge checks required data
    • 2
      Preparing the data analytics environment
    • 3
      Decision making with data
    • Before
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        • No centralized data management
        • It takes a lot of time just to collect data
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        • It takes a lot of effort to select and build the technology of data analytics base
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        • Slow speed of decision making due to slow data visualization and analytics
    • After
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        • Centrally manage data on the platform
        • Data ready for LoB members
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        • Prepare a speedy data analytics environment by leveraging existing assets
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        • Enables optimal and rapid decision making and judgment based on data visualization and analytics results

Data and AI Functions

Fujitsu Kozuchi Generative AI

Generative AI (Note 3) is provided in a secure environment for enterprises with hallucination counter-measures. With security-by -design, it automatically selects the most appropriate Large Language Models (LLMs), which contributes to obtaining high-quality answers and reducing costs.

Fujitsu Kozuchi AutoML

AI capable of automatically designing, building, and adjusting AI models in a short period of time. It also provides a function that automatically converts business challenges into appropriate mathematical expressions when entered in natural language which then generates the business-specific AI.

Fujitsu Kozuchi Predictive Analytics (Demand Forecast)

Fujitsu's proprietary demand forecasting IP is a dynamic ensemble model prediction technology. The AI-based highly accurate forecast assists with optimal ordering to reduce wastage.

Fujitsu Kozuchi Predictive Analytics (IoT)

Process sensor data from IoT devices into a format suitable for analysis and visualization, with AI based time-series search. Once visualized, AI can predict the future.

Fujitsu Kozuchi for Vision

AI that digitally converts information input from optical devices on; posture, shape, motion, and character recognition of humans and objects to analyze or judges them. With approximately 100 types of basic behavior learned models and behavior recognition rules created with no-code UI, complex human behavior can be easily recognized.

Fujitsu Kozuchi XAI (Wide Learning)

Explainable AI for cause-and-effect relationships of the results output by AI. It exhaustively verifies all possibilities for tabular data, provides explanations of decision results, sites improvement actions, and calculates relationships under all conditions from a vast amount of data, thereby uncovering useful information.

Standard Data Platform

Data platform functions from data processing to visualization and analysis are provided based on Microsoft Azure/Amazon Web Services. Fujitsu's know-how enables rapid data utilization.

How to get started

With various service options available to suit your needs, it’s easy to get started today. All Implementation support services are provided locally.

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