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Keebo

Blue Square
location2903

Sponsored Sessions

  • Intermediate
    Breakout Session
    Technical Executive
    Business Executive
    IT / DBA
    BI / Analyst
    Data Scientist
    Security Practitioner
    Product Manager
    Data Engineer
    Optimizing & Operating Snowflake
    1:00pm - 2:00pm
    Not industry-specific
    2915
    Performance & Optimization
    Cost Governance
    Observability
    Snowflake Native Apps
    Upskilling, learning and certification
    Data Engineering & Pipelines
    AI & GenAI
    Data Warehouse
    Iceberg Tables
    Hybrid Tables
    Snowflake Native Apps
    Snowpark ML
    Snowpipe Streaming and/or Dynamic Tables
    Document AI
    Marketplace
    Cortex AI LLMs
    Cortex Search or Cortex Analyst
    Geospatial or Time Series Analytics
    Snowflake Copilot
    No
    Mon, Jun 2
    All Days
    Finance
    IT
    R&D
    Operations
    Other (Industry-A)
    AI & GenAI (Topic)
    Application Development (Topic)
    Data Architectures, including Lakehouse, Mesh, Lake and Warehouse (Topic)
    Data Engineering & Streaming (Topic)
    DevOps & Observability (Topic)
    Open Source & Research (Topic)
    Optimizing & Operating Snowflake (Topic)
    BI / Analyst (Role)
    Business Executive (Role)
    Data Engineer (Role)
    Data Scientist (Role)
    IT / DBA (Role)
    Product Manager (Role)
    Security Practitioner (Role)
    Technical Executive (Role)
    OnDemand
    1:00 p.m. Monday, Jun 02
    Monday, Jun 02

    Okta and Komodo Health operate in vastly different industries — identity and access management vs. healthcare intelligence — but both rely on Snowflake to deliver secure, high-performance and cost-efficient data at scale.

    In this session, leaders from both organizations share how they use AI-powered automation to optimize workloads, reduce spend and improve governance. Whether you’re managing real-time access or sensitive health data, you’ll gain practical strategies to boost performance, cut costs and improve data accessibility — without compromising security.

  • Intermediate
    Theater Session
    Technical Executive
    Business Executive
    BI / Analyst
    Data Scientist
    Security Practitioner
    Product Manager
    Data Engineer
    Optimizing & Operating Snowflake
    10:00am - 11:00am
    Not industry-specific
    2914
    Performance & Optimization
    Cost Governance
    Observability
    Snowflake Native Apps
    Upskilling, learning and certification
    Data Engineering & Pipelines
    Data Warehouse
    Snowflake Notebooks
    Snowpark for Python or pandas
    Iceberg Tables
    Hybrid Tables
    Snowflake Native Apps
    Snowpark ML
    Snowpipe Streaming and/or Dynamic Tables
    Document AI
    Marketplace
    Cortex AI LLMs
    Cortex Search or Cortex Analyst
    No
    All Days
    Theaters are first come, first seated
    Finance
    IT
    R&D
    Operations
    Other (Industry-A)
    Application Development (Topic)
    Data Architectures, including Lakehouse, Mesh, Lake and Warehouse (Topic)
    Data Engineering & Streaming (Topic)
    DevOps & Observability (Topic)
    Open Source & Research (Topic)
    Optimizing & Operating Snowflake (Topic)
    BI / Analyst (Role)
    Business Executive (Role)
    Data Engineer (Role)
    Data Scientist (Role)
    Product Manager (Role)
    Security Practitioner (Role)
    Technical Executive (Role)
    Vertical Village
    Thursday, Jun 05
    10:00 a.m. Thursday, Jun 05

    Snowflake has transformed data storage and analysis, but as usage scales, teams struggle with performance, cost and efficiency. This talk explores how generative AI and reinforcement learning (RL) enhance Snowflake by automating warehouse optimization, improving observability and refining query performance. LLM-powered query rewriting reduces compute costs while making data more accessible. RL-driven systems dynamically scale resources, optimize queries and minimize waste. AI-driven observability provides deep insights to detect inefficiencies. Attendees will learn AI strategies to boost performance, visibility and value while reducing costs.

    • Speakers

    Headshot of Jenny Kazarina

    Jenny Kazarina

    Sr Manager Data Engineering

    Okta

    Jenny Kazarina, Senior Manager of Data Engineering at Okta, leads the Okta platform and Federal infrastructure. She has been with Okta for nearly 10 years, having been hired as the second data engineer on the team. Jenny has played a key role in the ongoing modernization of Okta’s infrastructure, pipelines, and processes, and possesses extensive knowledge about all the impressive things Okta does.

    Headshot of Mary Moore-Simmons

    Mary Moore-Simmons

    VP of Engineering

    Keebo

    With over a decade in the software industry, Mary, the VP of Engineering at Keebo, thrives in high-growth startups, reshaping the engineering landscape with innovative solutions. She’s dedicated to building high-performing teams and fostering an authentic and psychologically safe workplace. Beyond work, Mary indulges in culinary adventures, gardening, and globetrotting in pursuit of wine and olive oil.