LiveRamp is hosting its first LAB Demo Day during Advertising Week New York 2026 to showcase over 25 agentic AI use cases built on its identity and governance infrastructure. The event highlights partnerships with companies like OpenAI, Firsthand.ai, and Shopsense.ai to demonstrate AI-driven performance improvements for publishers and platforms.
The shift toward agentic AI signals a move from simple automation to autonomous systems that can navigate complex identity and governance frameworks. For streaming platforms and publishers, this infrastructure provides a way to use AI for performance optimization without compromising data privacy or control. As the industry moves away from third-party cookies, these AI agents offer a scalable method for activating first-party data across fragmented collaboration networks. This development suggests that the next phase of ad tech will be defined by how effectively AI can interface with established identity graphs like LiveRamp's. Watch for quarterly case studies from these 25 initial use cases to see if the 20% performance lift seen by Chalice becomes a baseline for the industry.
The broader push toward agentic AI orchestration is becoming a critical requirement for managing complex data workflows in the advertising and telecommunications sectors.
LiveRamp is launching its inaugural LAB Demo Day during Advertising Week New York 2026 to showcase 25 agentic AI marketing applications. By leveraging LiveRamp’s identity and governance infrastructure, these autonomous systems help publishers optimize performance and activate first-party data, marking a significant shift toward scalable, privacy-compliant AI in the ad tech industry.
The event focuses on showcasing 25 identity-driven use cases for agentic AI marketing applications built on LiveRamp’s infrastructure.
LiveRamp is partnering with OpenAI, Firsthand.ai, and Shopsense.ai to develop these agentic AI applications.
Partner Chalice reported a 20% performance lift after utilizing the Embedded Identity solution on Snowflake.
Agentic AI allows publishers to move beyond simple automation to autonomous systems that navigate complex identity frameworks, enabling performance optimization without compromising data privacy.
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