How AI-backed neuro-contextual technology is improving ad targeting
Jorge Poyatos, co-founder and co-CEO, Seedtag
Contextual ad targeting capabilities are expanding rapidly, and AI is playing a prominent role in that evolution. In the same way that the human brain uses neural networks to recognize patterns and assign meaning to them, the latest contextual ad technology employs these same principles to go beyond mere content categorization into understanding the human interest, intent and emotion behind consumers’ habits.
With the aid of AI agents, this sophisticated understanding of human behavior and intent can be activated across media channels, forming an intelligent modern media solution — neuro-contextual ad targeting.
Continue reading this article on digiday.com. Sign up for Digiday newsletters to get the latest on media, marketing and the future of TV.
Related Knowledge Center: Artificial intelligence
On top of a failing business model, newsrooms must navigate the powerful — and not fully reliable — new capabilities of artificial intelligence and the deployment of large language models.
State of the business model | Copyright and intellectual property
Related Knowledge Center: Digital privacy and data security
If you’re online, you’re generating a constant stream of information about yourself — sometimes voluntarily, sometimes unwittingly — that is assembled and used to craft your online experience. And generate wealth for data brokers. Meanwhile, designers and managers of the digital infrastructure on which the world depends are engaged in a never-ending effort to thwart attempts, by both criminal enterprises and state actors, to exploit vulnerabilities in those systems.
Signalgate | State surveillance