Doneyli De Jesus
Principal AI Advisor @ Snowflake
Montréal, Canada
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Doneyli is a Principal AI Advisor at Snowflake, leading strategic GenAI and ML initiatives as the primary technical advisor. He provides deep expertise in crafting tailored AI & Data solutions that align with customer goals. With over 20 years in Data and AI, from development to solution architecture, he leverages his robust skillset to guide organizations toward innovative solutions that transform their operations.
Inside Snowflake, he is deeply involved in cross-functional product development and deployment collaboration. He is often spearheading demonstrations and presentations to showcase AI capabilities.
Additionally, with his background in executive advising, data strategy, and solutions architecture, he dedicates time to mentoring data professionals, aiming to elevate their careers within the tech industry.
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Unlocking Success: How to Choose the Right AI Use Case
Are you eager to leverage AI but unsure where to begin? This session will equip you with proven frameworks and strategic insights to identify the most impactful AI use cases. Discover how to prioritize and invest in projects that deliver real value, ensuring your AI initiatives align with your business goals and drive meaningful outcomes.
Orchestrating AI Agents for Structured and Unstructured Data
In this session, we'll explore deploying AI agents to seamlessly query and analyze both structured and unstructured data. Utilizing practical demonstrations, attendees will learn how to set up services that enable AI agents to retrieve and process information from diverse data sources. We'll demonstrate building an AI agent that integrates data from multiple tables and documents, delivering accurate and comprehensive responses. This talk is designed for data professionals and AI enthusiasts aiming to enhance their data interaction capabilities
LLMs: The Right Context is All You Need
Large Language Models (LLMs) are powerful, but their effectiveness depends heavily on one key ingredient—context. In this session, we’ll explore real-world use cases where better context management significantly improved accuracy, reduced latency, and delivered more trustworthy answers. From parsing 500-page lease agreements to generating precise SQL queries over messy databases, you’ll learn practical strategies for chunking, retrieval, and semantic enrichment that can make or break your LLM implementation. If you're building or scaling GenAI solutions, this talk is for you.
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