In today's AI era, companies must build new data capabilities, and AI can accelerate this progress. This talk presents 42 opportunities for using multi-agent AI systems to enhance data modernization. These include speeding up migrations from legacy systems, augmenting BI reports with conversational AI, and preparing data for AI applications. Whether moving to platforms like Snowflake or using Cortex AI to handle enterprise data, we'll show how AI is used to capture, process and publish structured and unstructured data securely, setting the stage for AI readiness.
Partners
Accenture
Black Diamond
Overview
4001
Sponsored Sessions
Introductory
Theater Session
Technical Executive
Business Executive
IT / DBA
Software Developer
Product Manager
DevOps
Data Engineer
Data Engineering & Streaming
1:00pm - 2:00pm
Not industry-specific
2865
Snowflake on Snowflake
Data Engineering & Pipelines
Data Mesh / Data Fabric
AI & GenAI
Data Warehouse
Snowpipe Streaming and/or Dynamic Tables
Streamlit in Snowflake
Cortex AI LLMs
Cortex Search or Cortex Analyst
Snowconvert
Mon, Jun 2
All Days
Theaters are first come, first seated
Not department-specific
Other (Industry-A)
AI & GenAI (Topic)
BI & Analytics (Topic)
Data Architectures, including Lakehouse, Mesh, Lake and Warehouse (Topic)
Data Engineering & Streaming (Topic)
Business Executive (Role)
Data Engineer (Role)
IT / DBA (Role)
Product Manager (Role)
Software Developer (Role)
Technical Executive (Role)
General Theaters
1:00 p.m. Monday, Jun 02
Monday, Jun 02
Intermediate
Breakout Session
Business Executive
Generative AI
2:00pm - 3:00pm
Manufacturing
2907
Streamlit
Snowflake Partner Network
AI & GenAI
Cortex Search or Cortex Analyst
Wed, Jun 4
All Days
Finance
Operations
Manufacturing (Industry-A)
AI & GenAI (Topic)
Application Development (Topic)
Collaboration & Marketplace (Topic)
Business Executive (Role)
OnDemand
2:00 p.m. Wednesday, Jun 04
Wednesday, Jun 04
A global enterprise is advancing its autonomous intelligence strategy by implementing a medallion architecture within Snowflake to support agentic AI systems. By leveraging Snowflake’s multi-layered architecture of data, the organization enables AI agents to observe, reason and act with high-quality, real-time data. This structured data flow empowers agentic AI to perform dynamic decision-making and automated actions across customer experience, supply chain optimization and cybersecurity operations. Coupled with Snowflake features like Snowpark for embedded ML and time travel for auditability, the medallion approach forms a scalable and secure data backbone for enterprise-grade agentic AI.
Speakers
Frederik Dethlefs
Senior Manager Data Architecture
Accenture
Frederik has been working with Snowflake since its early days in the EMEA region. Along with his team, he's led several Snowflake greenfield and migration projects, including the successful replacement of the largest Teradata instance in Europe with Snowflake. Currently, he serves as the Lead Snowflake Architect for the Commercial Data Platform of a global pharmaceutical company.
Benny Du
Center for Advanced AI
Accenture
Benny Du is passionate about client success and working closely with channel/ecosystem partners in the overall enterprise IT space. He is currently a core member of the Center for Advanced AI (formerly known as the Generative AI/Large Language Models (LLMs) Center of Excellence) within Accenture Technology’s Global Data & AI Unit - and leads the global GenAI efforts for the Accenture Snowflake Practice. He has had a strong track record over the years of scaling business groups and offerings in the cloud, security, and enterprise data management spaces via strategic ecosystem partners.