Join the Free Seminar on Why AI Might Mislead You and How to Fix It

Join Our Free Online Seminar!

On May 13, 2026, Medix Inc., a leader in digital marketing support since the early days of the internet, will be hosting a free online seminar titled "Why Does AI Sometimes Mislead? Understanding the Importance of 'Dictionary Registration' for Dramatically Improving Data Analysis Accuracy."
This insightful seminar will be held from 14:00 to 14:30 via Zoom.

Seminar Overview

As the use of AI in data analysis gains traction, several challenges have emerged. Many organizations have reported issues such as the responses from AI not aligning with actual data, and the aggregation logic becoming obscured as a black box. The root cause of these challenges often stems from the standard definitions—or dictionaries—that AI references, which frequently deviate from the realities of business operations.

In this seminar, we will dive into the critical importance of "dictionary registration" for AI to accurately comprehend data. This discussion will go beyond mere technical specifications. We will walk you through how to teach AI critical business terminology, such as membership or sales, ensuring it can make correct judgements without errors.

Medix will also propose a vision for the next generation of data usability based on marketing perspectives. Our aim is to create an environment where anyone, regardless of their expertise, can make quick and informed decisions based on data.

Knowledge You Will Gain from Attending

- The fundamental reasons behind AI's mistakes in data aggregation.
- Tips on how to write dictionaries that dramatically enhance AI's accuracy.
- Methods to resolve discrepancies between system metrics and business decisions.

Who Should Attend

This seminar is highly recommended for:

- Those who have implemented AI but have concerns about the accuracy of its responses, preventing full utilization in practical scenarios.
- Individuals facing challenges with varying data definitions across departments, causing delays in reconciling numerical data.
- Professionals looking to reduce the labor involved in data aggregation, allowing for a focus on core tasks like strategy formulation and implementation.
- Anyone aiming to establish a reliable data foundation that accurately reflects their business rules.

We look forward to your participation!
Register Here: Medix Seminar Registration