#Japan #Tokyo #Customer Data #DATAFLUCT #AI Native CDP

Understanding AI Native Customer Data Platforms

DATAFLUCT, a leading data solutions company based in Shibuya, Tokyo, will host the second session of its free seminar series titled "Five Strategies to Win in the AI Agent Era" on September 2, 2026. This seminar is part of an overarching theme that examines shifting paradigms in data management and customer relationship strategies driven by AI technology.

What is AI Native CDP?

The seminar will delve into the concept of an AI Native Customer Data Platform (CDP), focusing on why customer interactions remain fragmented despite the abundance of customer data across various channels. While organizations have developed their Customer Data Bases (CDBs), Customer Relationship Management (CRM) systems, Marketing Automation (MA) tools, and Business Intelligence (BI) frameworks, the communication with customers is still compartmentalized by departments, channels, and KPIs.

During the discussions, Hayato Kumemura, CEO of DATAFLUCT, will address a crucial question: "Why has the increase in customer data not translated into improved customer engagement?" The seminar will illustrate how traditional data systems capture transactional data ('what') but fail to encompass the relational aspects ('why') of customer behavior, which reside in unstructured data like inquiries, notes, and conversations.

Key Takeaways

Participants will gain insights into:

• - The structural reasons why crucial 'why' information about customers is not captured in the existing databases.
• - How AI can transform unstructured data into actionable insights for better operational decisions.
• - Anticipated changes in customer selection behavior as they begin to use AI in their own strategies for choosing service providers.

Event Overview

Series Structure

The seminar series includes five sessions:
1. Generating AI Without Changes in Operations – Exploring the semantic layer and execution boundaries of AI.
2. Increasing Customer Data but Fragmented Engagement – Introducing the concept of AI Native CDP.
3. Predictive Analytics Impact on Company Operations – Connecting demand forecasting with profit improvement.
4. Robots in Demos vs. Real World Performance – Rethinking digital twins from models to operational tools.
5. AI Output vs. Company Decision Standards – Understanding the divergence between time-saving AI use and organizational empowerment.

Each session is designed to equip professionals with practical strategies to leverage AI effectively within their organizations.

Recommended Audience

This seminar is ideal for:

• - Marketing, CRM, and sales executives seeking to enhance customer engagement strategies.
• - Leaders who have implemented CDP and MA technologies but are struggling to achieve desired results.
• - Business heads responsible for B2C operations looking for innovative methods to enhance customer interactions.

Speaker Profile

Hayato Kumemura, the CEO of DATAFLUCT, has an impressive background featuring 15 new business developments across various sectors including advertising and data science. After founding FACTORIUM in 2018, he established DATAFLUCT in 2019 with a mission to tackle social issues through data and science.

Event Details

• - When: September 2, 2026, from 11:00 AM to 12:00 PM; September 8, from 12:00 PM to 1:00 PM
• - Reserve your spot: Participation is free but requires prior registration. Participants will receive a viewing URL via email upon registration.

About DATAFLUCT

DATAFLUCT aims to transform data into business opportunities, focusing on multi-modal data utilization regardless of its structure. The firm seeks to address global challenges, from sustainability to urban planning, by promoting informed decision-making through effective data use. Recognized as a JAXA venture, the organization is committed to harnessing knowledge from space research for innovative solutions.

For additional information, please visit DATAFLUCT's website or follow them on their social media channels.