AI-Driven Marketing
2026-02-05 03:22:00

Upcoming Online Seminar by Switch Media and Members for Advertising on Data-Driven Marketing Optimization

Upcoming Online Seminar: Optimizing Marketing with AI Data



On February 19, 2026, Switch Media, known for its advertising data analysis platforms, will host an online seminar in collaboration with Members for Advertising Company. The event, titled "Optimizing TV and Digital with AI Data Foundations - Creating Self-Running Marketing Organizations for the In-House Era," aims to teach companies how to adapt to the growing trend of in-house digital marketing.

Seminar Overview



As generative AI becomes increasingly prevalent, many companies in the U.S. and around the world are transitioning their marketing operations in-house. This movement is gaining traction in Japan, yet companies often face the challenge of insufficient workforce training and uncertainty about where to start.

The seminar will feature Mr. Tanaka, the CEO of Members for Advertising Company, who has a wealth of experience in supporting in-house marketing efforts. Contrary to the common belief that in-house marketing is solely for cost reduction, the session will emphasize the importance of owning data assets that drive business growth. Attendees will learn how to build self-sufficient marketing organizations that are not only efficient but also data-driven.

According to the organizers, the keys to successful in-house marketing are "organization" and "data." They will explore how businesses can effectively integrate the knowledge of marketing professionals and establish operational frameworks. Moreover, they will discuss the urgency of implementing a "data foundation suitable for the AI era," as this could significantly impact a company's competitiveness in the coming years.

The seminar will also cover how to maintain a healthy partnership with external collaborators while building internal capabilities. Attendees can expect to receive practical approaches that enhance decision-making speed by accumulating strategic assets and data internally.

Who Should Attend?


This seminar is particularly beneficial for:
  • - Individuals looking to leverage generative AI to advance in-house marketing efforts.
  • - Those interested in in-house strategies but facing challenges in workforce development or organizational structure.
  • - Companies aiming to establish a competitive marketing framework by organizing their data infrastructure for the future.

Event Details


  • - Title: Optimizing TV and Digital with AI Data Foundations - Creating Self-Running Marketing Organizations for the In-House Era
  • - Date: February 19, 2026 (Thursday)
  • - Time: 12:00 PM to 1:00 PM (Registration opens at 11:55 AM)
  • - Platform: Zoom Webinar
  • - Participation Fee: Free
  • - More Information & Registration: Switch Media Seminar

Note: Participation is limited to individuals representing companies. Personal attendees, advertising agencies, broadcasters, and firms involved in advertising effectiveness measurement are not eligible to attend.

About the Speakers


Mr. Hidetaka Tanaka - CEO of Members for Advertising Company
Mr. Toshiharu Takayama - President of Switch Media
Mr. Toshiro Kato - Digital Advertising Business Development at Switch Media

About Members for Advertising


Founded in 1995 and publicly traded on the Tokyo Stock Exchange, Members for Advertising focuses on driving social transformation through digital transformation (DX) within companies. They support clients in implementing effective DX strategies with skilled digital personnel as part of their teams, thereby maximizing ROI on DX investments.

About Switch Media


Switch Media specializes in unifying and managing TV CM and digital advertising data using standardized metrics. Their services include the SaaS product "Cross Media Insights" and the "TVAL" platform, which connects viewership data with purchasing behavior, helping clients analyze the effectiveness of their advertising campaigns.


画像1

画像2

画像3

画像4

Topics Consumer Products & Retail)

【About Using Articles】

You can freely use the title and article content by linking to the page where the article is posted.
※ Images cannot be used.

【About Links】

Links are free to use.