Gatekeeping AI, Responsibly: Best Practices for AI Gateways with Snowflake AI Gateway Workshop

​As teams plug more AI agents into production, they hit the same walls: no centralized access control, no cost visibility, no consistent way to enforce rate limits or redact sensitive data. AI Gateways solve this by acting as a single control plane between your apps and your AI providers.

​This session opens with a talk on core AI Gateway concepts — architectural patterns, build-vs-buy tradeoffs, and governance essentials — using Snowflake AI Gateway as our primary case study, with nods to alternatives like LiteLLM, Kong, and Cloudflare AI Gateway. We'll then run a hands-on 90-minute workshop where you'll configure a gateway, set guardrails, and test model routing and failover. You'll leave with a vendor-agnostic best-practices checklist.

• ​No prerequisites, except general knowledge about AI agents and LLMs

​This session is part of the TechEquity Ai Summit, combining strategic insights and real-world use cases from industry leaders, alongside technical workshops and live demos.

​SPEAKERS

• ​Okhtay Azarmanesh - Principal AI/ML Architect, Applied Field Engineering at Snowflake

• ​Stephen Chin - VP of Developer Relations at Neo4j

​AGENDA

​Program details are subject to change.

• ​1:00 pm [Registration]

• ​1:50 pm [Keynote] GraphRAG: The Definitive Guide - A Field Guide to Patterns, Trade-offs, and Production Systems (Session Details) by Stephen Chin/Neo4j
  This talk gives AI engineers a practical map of the GraphRAG landscape. We start with the limits of vector-only RAG, especially when data is connected, multi-hop, dynamic, or needs to be explainable. From there, we break GraphRAG into a set of core building blocks: constructing knowledge graphs from structured and unstructured data, choosing among lexical, domain, and meta graphs, and applying retrieval patterns such as guided traversal, graph-filtered search, Cypher templates, Text2Cypher, graph embeddings, query-focused summarization, and agentic retrieval.

• ​2:10 pm [Workshop] Gatekeeping AI, Responsibly: Best Practices for AI Gateways with Snowflake AI Gateway (Session Details) by Okhtay Azarmanesh/Snowflake
  This session opens with a talk on core AI Gateway concepts — architectural patterns, build-vs-buy tradeoffs, and governance essentials — using Snowflake AI Gateway as our primary case study, with nods to alternatives like LiteLLM, Kong, and Cloudflare AI Gateway. We'll then run a hands-on 90-minute workshop where you'll configure a gateway, set guardrails, and test model routing and failover. You'll leave with a vendor-agnostic best-practices checklist.

• ​4:00 pm Close

​SPONSORSHIP OPPORTUNITIES

​Interested in getting involved? We welcome sponsors and exhibitors to take part through speaking opportunities, workshops, live demos, exhibits, and other formats

​EVENT INFO

​🎟️ Registration: RSVP required (limited capacity)
​🍽️🪑 F&B and Seating: Limited and available on a first-come, first-served basis
🏢 Venue: Snowflake Silicon Valley AI Hub (SVAI)
📍 Address: 8th Floor at 135 Constitution Dr. Menlo Park, CA 94025
🚗Parking: Self-park in the garage next to the 135 Building
❗Arrival Guide: Download the guide at bit.ly/SVAI-Arrival-Guide

​TechEquity Ai is a nonprofit organization dedicated to democratizing access to artificial intelligence (AI) knowledge and applications.

​Our flagship initiative is the TechEquity Ai Summit, a series of high-impact events designed to foster innovation, broad participation, and education in AI. In addition to the Summit, TechEquity Ai hosts a Monthly Forum Series to keep the community engaged year-round through ongoing learning, networking, and hands-on exploration of emerging AI tools and ideas.

​Across our programs, we bring together builders, leaders, and learners through keynotes, panels, fireside chats, hands-on workshops, and interactive demos.

​To learn more about TechEquity Ai and our programs, visit techequity-ai.org or reach out to us at info@techequity-ai.org.