Partners

Snowplow

Green Circle
location1504

Sponsored Sessions

  • Intermediate
    Theater Session
    Technical Executive
    Business Executive
    IT / DBA
    Data Scientist
    Marketing Practitioner
    Product Manager
    DevOps
    Data Engineer
    Generative AI
    12:00pm - 1:00pm
    Media, Entertainment & Advertising
    Retail & Consumer Goods
    Technology
    Travel & Hospitality
    2893
    Application Development
    Customer 360
    Streaming
    Machine Learning
    BI and Analytics
    Data Engineering & Pipelines
    AI & GenAI
    Snowpipe Streaming and/or Dynamic Tables
    Cortex AI LLMs
    Cortex Search or Cortex Analyst
    No
    Wed, Jun 4
    All Days
    Theaters are first come, first seated
    Sales & Marketing
    IT
    Operations
    Advertising, Media, and Entertainment (Industry-A)
    Retail and CPG (Industry-A)
    Technology (Industry-A)
    Travel & Hospitality (Industry-A)
    AI & GenAI (Topic)
    Application Development (Topic)
    BI & Analytics (Topic)
    Data Engineering & Streaming (Topic)
    Machine Learning (Topic)
    Marketing & Customer 360 (Topic)
    Business Executive (Role)
    Data Engineer (Role)
    Data Scientist (Role)
    IT / DBA (Role)
    Marketing Practitioner (Role)
    Product Manager (Role)
    Technical Executive (Role)
    General Theaters
    12:00 p.m. Wednesday, Jun 04
    Wednesday, Jun 04

    The web is on the verge of a major shift. Agentic applications will redefine how customers engage with digital experiences — delivering highly personalized, relevant interactions. In this talk, Snowplow CTO Yali Sassoon explores how Snowplow Signals enables agents to perceive users through short- and long-term memory, and how Snowflake Cortex Agents can help leverage this long-term memory using Snowflake's connected data platform.

  • Speakers

    Headshot of Yali Sassoon

    Yali Sassoon

    CTO

    Snowplow

    Yali Sassoon is Co-founder and Chief Technology Officer at Snowplow Analytics. Yali is principally focused on empowering data teams to meet the challenges they face around data delivery, meaning, quality and governance, with a particular focus on AI applications and use cases.