October 19-20, 2023 | Japan
As lifestyles change and people become more fragmented, marketers need to rethink the importance of communication to connect people and empower them to take action to create a new society.
What are the marketing innovations and updates that can be accomplished by going through these situations? How do we act in the absence of a right answer? We hope to deliver sessions that will serve as a guideline for participants in the future.
September 18-20, 2023 | USA
As the industry settles into a new rhythm, media companies are still facing challenges that have major implications in their day-to-day business practices as well as overarching strategies. Continuously working on their business models allows for a plethora of new opportunities: ways to rethink which editorial products will resonate with audiences in a time of misinformation, growth areas within new and relied upon revenue streams, from newsletters to e-commerce, and how they’re staffing around — and selling — data insights. Walk away from this event with a better understanding of how other media organizations are building a more sustainable future.
September 11-14, 2023 | USA
The leading event for professionals in the business of television returns to the heart of NYC this September. The place where the TV industry comes together to learn more about the biggest issues, trends and changes on the horizon.
Three tracks curated by the editorial teams behind Next TV, Broadcasting + Cable and Multichannel News will provide a one-of-a-kind destination designed to give the whole picture of the latest developments in the fast-moving TV industry.
Join us for an unmissable few days of networking with Media & Entertainment industry leaders, sharing real-world successes, experiences and thought leadership, and a place to find new perspectives.
November 3, 2023 | Canada
Welcome to the AdAi: OOH Conference. This event is aimed at those already in AI wishing to learn more about the Out of Home Industry, and for those in Out of Home who wish to better understand Artificial Intelligence and Machine Learning.