Seminar Announcement: Momentum to Speak at "How to Create 'Usable Data' in the AI Era ~Practical Points from ID, Data Utilization, and Fraud Prevention~"
Momentum Inc. will speak at a seminar on April 22, 2026, on "How to Create 'Usable Data' in the AI Era," covering data integration, utilization, and fraud prevention for practical application.
📋 Article Processing Timeline
- 📰 Published: April 9, 2026 at 20:00
- 🔍 Collected: April 9, 2026 at 11:31
- 🤖 AI Analyzed: April 20, 2026 at 11:01 (263h 30m after Collected)
Momentum Inc. (Headquarters: Minato-ku, Tokyo; President and CEO: Kohei Hosoi) is pleased to announce its participation as a speaker at the seminar "How to Create 'Usable Data' in the AI Era ~Practical Points from ID, Data Utilization, and Fraud Prevention~" (Organizer: Intimate Merger Inc.), scheduled to be held on Wednesday, April 22, 2026.
### Seminar Overview
While AI utilization is advancing, do you face challenges such as:
- Data being fragmented
- Not being able to fully utilize it
- Not knowing if the data is truly reliable
This webinar will explain how to create "usable data" in the AI era from three perspectives: ID integration, data utilization, and fraud prevention.
Specialist companies from each field will present, sharing practical points and the latest trends.
### Program
- Part 1: ID Integration (TC3 Inc.)
- Part 2: Data Utilization (Intimate Merger Inc.)
- Part 3: Fraud Prevention (Momentum Inc.)
- Part 4: 3-Company Panel Discussion
"In 2026, how should companies create 'usable data' ~ ID x Data Utilization x Fraud Prevention ~"
*Program is subject to change.
### Recommended For
- Those who want to promote AI and data utilization but are unsure where to start.
- Those who feel challenges with customer data fragmentation or utilization.
- Those concerned about the relationship between marketing results and data.
- Those with concerns about fraudulent traffic or ad quality.
- DX, Marketing, and Data Utilization managers.
### Seminar Details
- Date & Time: April 22 (Wed) 12:00-13:00 (Doors open 5 minutes prior)
- Method: Online (conducted via Zoom)
- Organizers: Intimate Merger Inc., TC3 Inc.
### Seminar Overview
While AI utilization is advancing, do you face challenges such as:
- Data being fragmented
- Not being able to fully utilize it
- Not knowing if the data is truly reliable
This webinar will explain how to create "usable data" in the AI era from three perspectives: ID integration, data utilization, and fraud prevention.
Specialist companies from each field will present, sharing practical points and the latest trends.
### Program
- Part 1: ID Integration (TC3 Inc.)
- Part 2: Data Utilization (Intimate Merger Inc.)
- Part 3: Fraud Prevention (Momentum Inc.)
- Part 4: 3-Company Panel Discussion
"In 2026, how should companies create 'usable data' ~ ID x Data Utilization x Fraud Prevention ~"
*Program is subject to change.
### Recommended For
- Those who want to promote AI and data utilization but are unsure where to start.
- Those who feel challenges with customer data fragmentation or utilization.
- Those concerned about the relationship between marketing results and data.
- Those with concerns about fraudulent traffic or ad quality.
- DX, Marketing, and Data Utilization managers.
### Seminar Details
- Date & Time: April 22 (Wed) 12:00-13:00 (Doors open 5 minutes prior)
- Method: Online (conducted via Zoom)
- Organizers: Intimate Merger Inc., TC3 Inc.
FAQ
What is the purpose of the 'How to Create Usable Data in the AI Era' seminar?
The purpose is to explain practical solutions and the latest trends in addressing challenges such as data fragmentation, underutilization, and reliability in AI applications, from the perspectives of ID integration, data utilization, and fraud prevention.
What role will Momentum Inc. play in the seminar?
Momentum Inc., as a specialist in fraud prevention, will share practical points and the latest trends on how to create usable data in the AI era.
Who is recommended to attend this seminar?
This seminar is recommended for those who want to advance AI and data utilization, feel challenges with customer data, and marketing or DX professionals concerned about fraudulent traffic and ad quality.