AI Utilization Strategies
2026-02-06 07:30:54

Unlocking AI Utilization Through Company-Wide Data Management Strategies

Seminar Overview: Effective AI Utilization in Enterprises



On March 13, 2026, Data Biz Lab's CEO, Yukari Nagata, will host a crucial seminar that delves into the effective management of data for optimizing AI utilization across enterprises. This extensive session aims to transition businesses from fragmented Point of Concept (PoC) implementations to a more coherent approach that integrates AI into their operational strategies.

Seminar Details


  • - Date: March 13, 2026 (Friday)
  • - Time: 4:00 PM to 5:30 PM (JST)
  • - Location: SSK Seminar Room, 4F Zaimax Nishi-shinbashi Building, 2-6-2 Nishi-shinbashi, Minato City, Tokyo
  • - Participation Modes:
- Venue attendance
- Live Streaming via Zoom Webinar
- Archive Streaming (available for two weeks to watch at your convenience)

Key Discussion Points


The seminar will tackle various aspects of AI utilization in companies, which often remain limited to isolated 'dots' rather than interconnected 'lines' across business processes. This year, many companies are expected to balance aggressive and defensive strategies in their data management approaches. The agenda includes:

1. Reasons Why AI Utilization Stagnates:
Exploring the issues related to the prevalence of PoCs, localized optimization, and sluggish data integration.

2. Comprehensive Design for AI Utilization:
Understanding the integration of AI within business process workflows, including necessary requirements.

3. Data Strategy Derived from Business Value:
Focusing on use cases, prioritization, and investment decisions that align with the company's goals.

4. Practical Data Quality Management:
Overseeing quality indicators, defining responsibilities, and establishing operational frameworks for monitoring and improvement.

5. Governance Design: Balancing Aggressiveness and Security:
Establishing authority, rules, security measures, and risk management protocols throughout the organization.

6. Data Infrastructure and Metadata Utilization in the Age of AI:
Leveraging data catalogs, data lineage, and observability.

7. Creating Roles and Establishing Organizations:
Developing roles such as data owners and stewards, and encouraging team involvement.

8. Implementation Roadmap:
Steps to move from PoC to operational scale and full deployment in 3-6 months.

9. Q&A and Networking Opportunities:
Engage with the speaker and other attendees during the question-and-answer session and business card exchange.

About Data Biz Lab


Founded to enhance how enterprises perceive and utilize data in the context of AI, Data Biz Lab is dedicated to delivering innovative solutions and actionable insights. This seminar underscores our commitment to providing cutting-edge strategies that empower organizations to harness the full potential of their data resources.

For more information, please contact SSK (Shin Shakai System Research Institute) at:

Join us to transform your understanding of AI utilization through comprehensive data management strategies and enhance your organization's operational standards!


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Topics Consumer Products & Retail)

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