WEB Seminar Co-hosted with secondz digital Inc.: "How Does Generative AI Evaluate Your Company? ~Visualizing Blind Spots in Corporate Evaluation and Decision-Making with AI Search x Decision-Making OS~"
Delivery Consulting and secondz digital co-host a web seminar focusing on how generative AI evaluates companies and the blind spots in decision-making. The seminar aims to encourage companies to review their information design and decision-making processes in the AI era.
📋 Article Processing Timeline
- 📰 Published: April 2, 2026 at 21:30
- 🔍 Collected: April 2, 2026 at 13:35
- 🤖 AI Analyzed: April 21, 2026 at 12:48 (455h 12m after Collected)
Delivery Consulting Co., Ltd. (Headquarters: Minato-ku, Tokyo; Representative Director & CEO: Shujiro Naito), which supports companies in transforming into data-driven companies by improving data literacy, will co-host a web seminar with secondz digital Co., Ltd. (Headquarters: Yokohama City, Kanagawa Prefecture; Representative Director: Tatsuya Itai), which supports companies in transforming into "AI-native" enterprises.
Theme: How is Generative AI evaluating your company? ~Visualizing blind spots in corporate evaluation and decision-making through AI search x Decision-making OS~
Registration: https://service.deliv.co.jp/seminor/20260409
Seminar Overview: With the spread of generative AI, companies have entered an era where how they are evaluated and referenced by generative AI, not just search engines, directly impacts their decision-making and corporate value.
Generative AI references all information published by companies, such as websites, IR information, recruitment pages, and news releases, and forms and answers a corporate image based on its unique logic.
However, many companies face challenges such as:
- Not understanding how their company is treated in generative AI searches.
- The source of information referenced in AI answers is unclear.
- Information inconsistencies and outdated information are affecting decision-making and evaluation.
In this seminar, we will first visualize the reality of how companies are treated in generative AI searches, and what information AI references and from what perspectives it evaluates companies. Furthermore, we will explain how easily overlooked information inconsistencies and misalignments in information design affect management decisions, marketing, IR, and recruitment activities, and provide concrete perspectives for confirmation and correction.
In the latter half, we will approach the challenge that many enterprise companies face—"Why doesn't decision-making change even after introducing AI and data?"—from the perspective of an organizational decision-making OS (the structure of how decisions are made and actions are taken).
During the seminar, a "Decision-making OS Diagnosis Workshop" will be held, which visualizes the habits and structural bottlenecks of a company's decision-making in just 10 minutes.
Through this workshop, participants aim to:
- Structurally understand the real reasons why generative AI and data are not effectively utilized.
- Enable management, marketing, IR, and HR to discuss on the same premise.
- Clarify the priorities for reviewing information design and decision-making.
In the era of generative AI, this seminar for enterprise companies focuses on simultaneously reviewing "how you are perceived" and "how you make decisions."
Outline:
Theme: How is Generative AI evaluating your company? ~Visualizing blind spots in corporate evaluation and decision-making through AI search x Decision-making OS~
Registration: https://service.deliv.co.jp/seminor/20260409
Seminar Overview: With the spread of generative AI, companies have entered an era where how they are evaluated and referenced by generative AI, not just search engines, directly impacts their decision-making and corporate value.
Generative AI references all information published by companies, such as websites, IR information, recruitment pages, and news releases, and forms and answers a corporate image based on its unique logic.
However, many companies face challenges such as:
- Not understanding how their company is treated in generative AI searches.
- The source of information referenced in AI answers is unclear.
- Information inconsistencies and outdated information are affecting decision-making and evaluation.
In this seminar, we will first visualize the reality of how companies are treated in generative AI searches, and what information AI references and from what perspectives it evaluates companies. Furthermore, we will explain how easily overlooked information inconsistencies and misalignments in information design affect management decisions, marketing, IR, and recruitment activities, and provide concrete perspectives for confirmation and correction.
In the latter half, we will approach the challenge that many enterprise companies face—"Why doesn't decision-making change even after introducing AI and data?"—from the perspective of an organizational decision-making OS (the structure of how decisions are made and actions are taken).
During the seminar, a "Decision-making OS Diagnosis Workshop" will be held, which visualizes the habits and structural bottlenecks of a company's decision-making in just 10 minutes.
Through this workshop, participants aim to:
- Structurally understand the real reasons why generative AI and data are not effectively utilized.
- Enable management, marketing, IR, and HR to discuss on the same premise.
- Clarify the priorities for reviewing information design and decision-making.
In the era of generative AI, this seminar for enterprise companies focuses on simultaneously reviewing "how you are perceived" and "how you make decisions."
Outline: