Trends in AI Utilization by Domestic Companies in 2024: Transition to Standard Infrastructure

[Free explanatory materials] About 50% are in the introduction or consideration phase. What are the guidelines to avoid falling behind now?

last updated Jun 04, 2026

The benefits of "on-site driven DX" that fosters a culture of voluntary improvement.

Create an organization that quickly reflects the voices of business users and actively engages in problem-solving.

last updated Jun 04, 2026

The Trap of Data Silos: Disadvantages Faced by Field-Centric DX

[Free Distribution of Explanatory Materials] The Necessity of a "Common Foundation" to Prevent the Proliferation of Systems and Increase in Management Costs

last updated Jun 04, 2026

Accelerating shortage of data talent: A serious concern for 57.5% of companies.

[Free explanatory materials] "Securing talent" is the biggest bottleneck. The next step you should take immediately.

last updated Jun 04, 2026

Four Steps to Data Quality Improvement: Definition, Measurement, Improvement, Application

Transforming data "garbage" into value: Quality management techniques using the PDCA cycle.

last updated Jun 04, 2026

Meta-learning and Knowledge Repository: Maximizing the Outcomes of AI Utilization

Systematize internal knowledge and integrate it as a "common language" that AI can reference instantly.

last updated Jun 04, 2026

Semantic Layer: Preventing discrepancies in data definitions between departments.

No need for specialized SQL. Building an environment where you can directly access data using business terminology.

last updated Jun 04, 2026

Conversational Interface: Intuitive Data Exploration through Natural Language

[Free Presentation of Explanatory Materials] Execute queries in chat format. Encourage active use by non-engineers.

last updated Jun 04, 2026

Integration of Structured and Unstructured Data: Collaborative Design Key to AI Accuracy

PDFs, emails, and images are also assets. How to advance the organization of accurate and unified data.

last updated Jun 04, 2026

The first step of AI transformation: Inventory of existing data infrastructure and understanding the current situation.

[Free explanatory materials] The source of competitiveness lies not in the number of AI implementations, but in the "quality of data."

last updated Jun 04, 2026

AI READY Consulting: Extracting and Eliminating Non-AI-Ready Factors

Eliminate personalization and data fragmentation, and establish an ideal state for optimal AI utilization.

last updated Jun 04, 2026

Data infrastructure construction: Databricks × Fivetran partnership

[Free Presentation of Explanatory Materials] Professionals Support the Latest Data Lakehouse Design and Implementation

last updated Jun 04, 2026

Example: Formulation of a Grand Design for IT Strategy for the Utilization of Communication AI

IT strategy formulation centered on the utilization of generative AI, from issue identification to roadmap creation.

last updated Jun 04, 2026

Three Steps to Full-scale Implementation of Generative AI: From CoE to Identifying Use Cases

It won't change overnight. Support for a continuous approach as an organization.

last updated Jun 04, 2026

Integrated Architecture of Azure Environment: Monitor & Govern

[Free Presentation of Explanation Materials] A Consistent Flow from Azure Data Factory to Power BI

last updated Jun 04, 2026

Data utilization consultation desk: Leading to solutions for challenges in manufacturing industry DX.

[Free explanatory materials] From inventorying existing data to AI implementation, feel free to consult with us first.

last updated Jun 04, 2026

IT Strategy for Building Competitive Advantage in the AI Era: Free Presentation Material Offered

After 2026, the success or failure of a business will be determined by the "speed of value delivery."

last updated Jun 04, 2026

The true nature of "PoC death" that hinders DX promotion: Free explanatory materials provided.

Why do about 70% of AI projects fail to reach the field and come to a standstill?

last updated Jun 04, 2026