Free Seminar on 5/13 (Wed) [Why Does AI 'Lie'?] Exploring the Importance of 'Dictionary Registration' to Dramatically Change Data Analysis Accuracy
Medix Inc. will re-host a free online seminar explaining the crucial role of 'dictionary registration' in improving AI accuracy, helping organizations align data definitions with business reality for better decision-making.
📋 Article Processing Timeline
- 📰 Published: April 23, 2026 at 21:30
- 🔍 Collected: April 23, 2026 at 13:01
- 🤖 AI Analyzed: April 24, 2026 at 00:16 (11h 14m after Collected)
Medix Inc. (Headquarters: Chiyoda-ku, Tokyo; President: Masanori Tanaka), which has been supporting corporate digital marketing since the dawn of the internet, will re-host its free online seminar titled '[Why Does AI "Lie"?] The Importance of "Dictionary Registration" to Dramatically Change Data Analysis Accuracy.'
■ About the Seminar
[Event Overview]
Seminar Title: [Why Does AI "Lie"?] The Importance of "Dictionary Registration" to Dramatically Change Data Analysis Accuracy
Date & Time: May 13, 2026 (Wednesday), 14:00–14:30
Format: Archive video distribution via Zoom
Fee: Free (Pre-registration required)
[Seminar Overview]
While AI-driven data analysis is gaining attention, challenges such as 'AI responses deviating from reality' and 'collection logic becoming a black box' are surfacing. The root cause lies in the fact that the 'definitions (dictionaries)' referenced by AI are disconnected from business realities. This seminar will explain the importance of 'dictionary registration' for AI to read data correctly. Beyond simple system specifications, we will present specific steps on how to teach AI business terms like 'membership' and 'sales' to prevent errors in judgment. Medix will share its marketing-focused vision for next-generation data utilization infrastructure, enabling everyone to make rapid, data-driven decisions without specialized knowledge.
▼ Knowledge to be gained from participation:
- The fundamental reason why AI performs incorrect data aggregation.
- How to write dictionaries that dramatically improve AI response accuracy.
- Techniques to resolve the gap between system values and business judgment.
▼ Recommended for:
- Those who have introduced AI but are unsure of its accuracy for practical use.
- Organizations where data definitions vary by department, causing time-consuming alignment.
- Those wishing to reduce data aggregation workload and focus on core strategic tasks.
- Those wanting to build a reliable data foundation that correctly reflects their business rules.
We look forward to your participation.
■ Medix Company Profile
Headquarters: 19F Jimbocho Mitsui Building, 1-105 Kanda Jimbocho, Chiyoda-ku, Tokyo
Business: Comprehensive digital marketing consulting, Internet advertising agency services, planning and production of internet advertisements, website construction, web analysis consulting, CRM consulting, data utilization infrastructure construction, media support business (sales outsourcing, service development, etc.).
Corporate Site: https://www.medix-inc.co.jp/
■ About the Seminar
[Event Overview]
Seminar Title: [Why Does AI "Lie"?] The Importance of "Dictionary Registration" to Dramatically Change Data Analysis Accuracy
Date & Time: May 13, 2026 (Wednesday), 14:00–14:30
Format: Archive video distribution via Zoom
Fee: Free (Pre-registration required)
[Seminar Overview]
While AI-driven data analysis is gaining attention, challenges such as 'AI responses deviating from reality' and 'collection logic becoming a black box' are surfacing. The root cause lies in the fact that the 'definitions (dictionaries)' referenced by AI are disconnected from business realities. This seminar will explain the importance of 'dictionary registration' for AI to read data correctly. Beyond simple system specifications, we will present specific steps on how to teach AI business terms like 'membership' and 'sales' to prevent errors in judgment. Medix will share its marketing-focused vision for next-generation data utilization infrastructure, enabling everyone to make rapid, data-driven decisions without specialized knowledge.
▼ Knowledge to be gained from participation:
- The fundamental reason why AI performs incorrect data aggregation.
- How to write dictionaries that dramatically improve AI response accuracy.
- Techniques to resolve the gap between system values and business judgment.
▼ Recommended for:
- Those who have introduced AI but are unsure of its accuracy for practical use.
- Organizations where data definitions vary by department, causing time-consuming alignment.
- Those wishing to reduce data aggregation workload and focus on core strategic tasks.
- Those wanting to build a reliable data foundation that correctly reflects their business rules.
We look forward to your participation.
■ Medix Company Profile
Headquarters: 19F Jimbocho Mitsui Building, 1-105 Kanda Jimbocho, Chiyoda-ku, Tokyo
Business: Comprehensive digital marketing consulting, Internet advertising agency services, planning and production of internet advertisements, website construction, web analysis consulting, CRM consulting, data utilization infrastructure construction, media support business (sales outsourcing, service development, etc.).
Corporate Site: https://www.medix-inc.co.jp/