Questioning the AI Era: The True Nature of the 'Wall' Impeding Data Analysis and How to Break Through It | ThinkingData 'Data→AI Meetup 2026' Held on April 17 at Bellesalle Onarimon Tower

Event Overview

Event Name: Data→AI Meetup 2026 ~From Data to AI, Build a True AI Agent Team~

Date: Friday, April 17, 2026, 13:00-18:00 (After-party 18:00-)

Venue: Bellesalle Onarimon Tower (Sumitomo Fudosan Onarimon Tower 3F/4F, 1-1-1 Shibakoen, Minato-ku, Tokyo)

Admission: Free (pre-registration required)

Capacity: 250 people

Organizer: ThinkingData Co., Ltd.

Register for free participation

At this event, we welcome data analysts fighting on the front lines to discuss a core theme.

Even with AI's evolution, why do on-site challenges persist?

In 2026, AI technology has achieved astonishing advancements in prediction and causal identification. However, at game operation sites, primitive and fundamental challenges still abound.

- "Indicator definitions differ within teams, leading to unproductive discussions." - "There is an enormous amount of data, but crucial hypotheses for the 'next move' cannot be formulated." - "How do we implement AI's prediction results into on-site measures?"

These are the 'walls' of data utilization that companies inevitably face, no matter how advanced the AI introduced, if the foundational 'organization' and 'processes' are not in place.

Panel Discussion: How to Break Through the 'Wall' of Data Analysis?

In this session, data analysis specialists leading the industry will gather to thoroughly discuss the true nature of this 'wall'.

- **Clarification of areas to entrust to AI vs. areas for human responsibility**: Where is the boundary between AI's role in efficiency and human's 'qualitative judgment' and 'governance'? - **Concrete solutions based on actual data**: Presenting action plans cultivated in actual game business settings to win in 2026, not just theoretical ideals. - **Path to industry standardization**: How should individual company challenges be elevated as 'standards' for the entire industry to promote efficiency?

Extracting 'Breakthroughs' usable tomorrow from the 'Reality' of the field

Speakers include top-tier domestic publishers and consultants who have supported numerous titles, all well-versed in the highs and lows of data.

This panel will not merely share success stories but delve deeply into the pain points of the field, extracting essential insights by eliminating superficial discussions. It aims to transform the power of AI into true business growth, rather than ending data analysis as mere report creation.