Announcing 'AI Driven CDP': The Data Foundation for the AI Era - Accelerating AI Utilization by Building a High-Purity Data Foundation with No-Code
DataX Inc. has launched 'AI Driven CDP' within its 'b-dash' platform. It enables no-code data integration optimized for AI, features standard MCP support, and drives autonomous PDCA for marketing.
📋 Article Processing Timeline
- 📰 Published: April 23, 2026 at 20:00
- 🔍 Collected: April 23, 2026 at 11:31
- 🤖 AI Analyzed: April 24, 2026 at 01:18 (13h 46m after Collected)
DataX Inc. (Headquarters: Shinjuku-ku, Tokyo; President and CEO: Yasuhiro Abe) is pleased to announce the launch of 'AI Driven CDP' within its data marketing cloud system 'b→dash', to enable advanced data utilization in the AI era.
■ Development Background: The AI Era Requires a 'Data Foundation'
In recent years, with the spread of generative AI, the importance of AI utilization in enterprises has increased significantly, and integration into practical business operations is progressing. On the other hand, even after adopting AI, issues such as 'failing to achieve expected results' and 'analysis accuracy not improving' have become apparent, with an increasing number of companies facing challenges in the precision and practicality of their AI applications.
One of the main reasons for this is that the quality and structure of the data that AI learns from and references are not well-prepared.
Whether AI can be truly mastered depends heavily not only on model performance but also on the quality and consistency of the data used. In an inconsistent data environment where data is scattered across departments or where data formats and definitions are not standardized, AI may make erroneous judgments or suggest irrelevant measures.
Given this background, DataX has launched the 'AI Driven CDP' service, aiming to realize a 'high-purity data foundation', which is the prerequisite for using AI correctly.
■ What is 'AI Driven CDP'?
'AI Driven CDP' is a data foundation that automatically organizes internally scattered data into a consistent format that AI can learn from, thereby accelerating AI utilization.
It eliminates the need for manual data processing each time and builds 'trusted data assets' for AI to autonomously make optimal judgments.
Furthermore, it provides end-to-end, no-code capabilities from data processing to integration and utilization, converting a company's data into 'revenue-generating assets' and contributing to sales creation.
Through this, it realizes an environment where AI is not just a tool, but a foundation that drives business.
■ Four Key Features of 'AI Driven CDP'
1. High-Purity Data Foundation Built with No-Code
It enables data processing and integration without coding, building a 'highly optimized integration foundation' that is easy for AI to directly reference and utilize.
This provides an environment where advanced AI utilization can begin easily immediately after implementation.
2. Enhanced AI Integration with Standard MCP
It comes standard with MCP (Model Context Protocol: a standard for seamlessly connecting AI with external tools and data sources), providing a mechanism for AI to autonomously understand data structures and meanings.
This strengthens the integration between generative AIs like ChatGPT and b→dash, improving the accuracy and speed of analysis and measure execution.
3. Advanced Customer Understanding and Personalization by AI
Based on the integrated data, AI automatically performs real-time predictive analysis of customer behaviors and latent needs, such as 'churn risk' and 'products they want right now'.
By delivering the 'most resonant, optimal message' through delivery channels like email and LINE at the optimal time, it achieves highly probable targeting.
4. Autonomous PDCA Where AI Keeps Learning
AI continuously learns from the results of measures and automatically reflects them in the next initiative.
Because accuracy improves the more it is operated, it automatically supports result creation while minimizing operational costs and manual labor, without the need for fine human adjustments.
■ Future Outlook
Against the backdrop of the growing importance of data foundations in the AI era, DataX is deploying b→dash as a core platform supporting data and AI utilization for companies holding diverse and large-scale data.
Going forward, centered on the 'AI Driven CDP', we will help companies holding diverse data solve the issue of 'data fragmentation' and support the realization of advanced and strategic data utilization.
Additionally, through this initiative, we will further promote the practical application of AI in enterprises and contribute to the creation of new value.
■ About b→dash
'b→dash' is a data marketing cloud system that can realize 'data ingestion, processing, integration, extraction, and utilization' all-in-one and with no-code, without using SQL. We have supported data utilization for a wide range of over 1,300 companies cumulatively.
■ Company Overview
DataX Inc.
Location: 26F Sumitomo Fudosan Nishi-Shinjuku Bldg., 7-20-1 Nishi-Shinjuku, Shinjuku-ku, Tokyo 160-0023
President and CEO: Yasuhiro Abe
Established: April 6, 2010
URL: https://bdash-marketing.com/
Business Description: Development, sales, and implementation of 'b→dash' / Development and sales of 'kpiee'
■ Development Background: The AI Era Requires a 'Data Foundation'
In recent years, with the spread of generative AI, the importance of AI utilization in enterprises has increased significantly, and integration into practical business operations is progressing. On the other hand, even after adopting AI, issues such as 'failing to achieve expected results' and 'analysis accuracy not improving' have become apparent, with an increasing number of companies facing challenges in the precision and practicality of their AI applications.
One of the main reasons for this is that the quality and structure of the data that AI learns from and references are not well-prepared.
Whether AI can be truly mastered depends heavily not only on model performance but also on the quality and consistency of the data used. In an inconsistent data environment where data is scattered across departments or where data formats and definitions are not standardized, AI may make erroneous judgments or suggest irrelevant measures.
Given this background, DataX has launched the 'AI Driven CDP' service, aiming to realize a 'high-purity data foundation', which is the prerequisite for using AI correctly.
■ What is 'AI Driven CDP'?
'AI Driven CDP' is a data foundation that automatically organizes internally scattered data into a consistent format that AI can learn from, thereby accelerating AI utilization.
It eliminates the need for manual data processing each time and builds 'trusted data assets' for AI to autonomously make optimal judgments.
Furthermore, it provides end-to-end, no-code capabilities from data processing to integration and utilization, converting a company's data into 'revenue-generating assets' and contributing to sales creation.
Through this, it realizes an environment where AI is not just a tool, but a foundation that drives business.
■ Four Key Features of 'AI Driven CDP'
1. High-Purity Data Foundation Built with No-Code
It enables data processing and integration without coding, building a 'highly optimized integration foundation' that is easy for AI to directly reference and utilize.
This provides an environment where advanced AI utilization can begin easily immediately after implementation.
2. Enhanced AI Integration with Standard MCP
It comes standard with MCP (Model Context Protocol: a standard for seamlessly connecting AI with external tools and data sources), providing a mechanism for AI to autonomously understand data structures and meanings.
This strengthens the integration between generative AIs like ChatGPT and b→dash, improving the accuracy and speed of analysis and measure execution.
3. Advanced Customer Understanding and Personalization by AI
Based on the integrated data, AI automatically performs real-time predictive analysis of customer behaviors and latent needs, such as 'churn risk' and 'products they want right now'.
By delivering the 'most resonant, optimal message' through delivery channels like email and LINE at the optimal time, it achieves highly probable targeting.
4. Autonomous PDCA Where AI Keeps Learning
AI continuously learns from the results of measures and automatically reflects them in the next initiative.
Because accuracy improves the more it is operated, it automatically supports result creation while minimizing operational costs and manual labor, without the need for fine human adjustments.
■ Future Outlook
Against the backdrop of the growing importance of data foundations in the AI era, DataX is deploying b→dash as a core platform supporting data and AI utilization for companies holding diverse and large-scale data.
Going forward, centered on the 'AI Driven CDP', we will help companies holding diverse data solve the issue of 'data fragmentation' and support the realization of advanced and strategic data utilization.
Additionally, through this initiative, we will further promote the practical application of AI in enterprises and contribute to the creation of new value.
■ About b→dash
'b→dash' is a data marketing cloud system that can realize 'data ingestion, processing, integration, extraction, and utilization' all-in-one and with no-code, without using SQL. We have supported data utilization for a wide range of over 1,300 companies cumulatively.
■ Company Overview
DataX Inc.
Location: 26F Sumitomo Fudosan Nishi-Shinjuku Bldg., 7-20-1 Nishi-Shinjuku, Shinjuku-ku, Tokyo 160-0023
President and CEO: Yasuhiro Abe
Established: April 6, 2010
URL: https://bdash-marketing.com/
Business Description: Development, sales, and implementation of 'b→dash' / Development and sales of 'kpiee'