ODSC AI New York

Add to your calendar - https://hubs.ly/Q0469-0j0

​AI agents are only as good as the data they can access, yet legacy architectures often fail to provide the real-time context agents require. This session explores context engineering: the foundation for ensuring data freshness and quality. We will demonstrate how to unify streaming and low-latency serving on Google Cloud using the Model Context Protocol (MCP) and Vertex AI.

​Learn how combining Confluent’s real-time data with Google Cloud enables agents to take accurate, autonomous action without the lag of traditional data stacks.

​Speaker#1: Dr. Sean Falconer is Confluent’s AI Entrepreneur in Residence, driving AI strategy and thought leadership. Sean has built and launched products that have impacted millions. As the founder of Proven.com, he led engineering, product development, and go-to-market strategies, successfully guiding the company to acquisition. At Google, Sean worked on enhancing developer experience and advancing conversational AI technologies.

​He holds a Postdoc in Bioinformatics at Stanford University, where he collaborated with the World Health Organization to modernize the International Classification of Diseases.

## ​Useful Links

• ​​​Free access to more talks/trainings: Ai+ Training platform
• ​​​ODSC blog: https://opendatascience.com/
• ​​​Slack Channel: https://hubs.li/Q03SyZP80
• ​​​Code of conduct: https://odsc.ai/code-of-conduct/

Pre-Registration is REQUIRED. RSVP here - https://luma.com/4ltas41p

# Data Cloud & The Future of Enterprise AI 🚀

Join ODSC AI and Snowflake in the heart of NYC for an evening dedicated to the next frontier of corporate intelligence.
As we move deeper into 2026, the conversation has shifted from "How do we use LLMs?" to "How do we build secure, scalable AI on our proprietary data?" This meetup explores the critical intersection of cloud data architecture and generative AI, focusing on how enterprises are moving models out of the lab and into high-impact production environments.

Whether you are a data engineer, an AI researcher, or a tech leader, join us at Nomadworks to discuss the infrastructure, governance, and innovation required to power the next generation of enterprise AI.

## Why Attend?

• Future-Proof Your Stack: Gain insights into how the Data Cloud is evolving to support autonomous agents and enterprise-grade LLMs.
• Network with Builders: Connect with AI practitioners and data leaders within the New York City ecosystem.
• Exclusive Access: Hear directly from the experts at Snowflake (speaker to be announced!) on the latest developments in their AI roadmap.

## The Agenda

• 6:00 PM – 6:30 PM: Networking & Check-in (Hosted by ODSC AI)
• 6:30 PM – 6:40 PM: Opening Remarks
• 6:40 PM – 7:20 PM: Session: Data Cloud & The Future of Enterprise AI
• 7:20 PM – 7:300 PM: Interactive Q&A
• 7:30 PM – 8:00 PM: Networking & Wrap-up

## The Speakers

Kaitlyn Wells, Senior AI/ML Architect, Applied Field Engineering at Snowflake

Kaitlyn Wells is an AI and ML Architect at Snowflake, specializing in cloud-based data platforms and machine learning. Their diverse career spans software engineering roles at Pikkit and Ribbon Health - where they utilized stacks including AWS, Databricks, and React Native - as well as financial strategy at Goldman Sachs. A University of Michigan alumna, Kaitlyn combines deep technical expertise in data architecture with a strong background in analytical problem-solving and client-focused solutions.

## Logistics

• Date: May 7th, 2026
• Time: 6:00 PM – 8:00 PM ET
• Location: Nomadworks, 240 West 40th Street, New York, NY 10018
• Admission: Space is limited for this deep-dive event. RSVP now to secure your spot!

## Stay Connected

• Learn: Free talks and trainings on the Ai+ Training platform.
• Read: The latest in AI research on the ODSC Blog.
• Chat: Join the conversation in our Slack Channel.
• Community: Review our Code of Conduct.

Add to your calendar: https://hubs.li/Q04ftPyG0

The agentic era has arrived. The gaps haven't closed.

In 2024, the challenge was getting generative AI into production. In 2026, organizations are deploying agents into mission-critical, externally-facing workflows with near-zero tolerance for failure. The pain points haven't disappeared. They've gotten harder.

In this 30-minute session, Nikki Rouda, Senior Director of Product Marketing at DataRobot, walks through the 2026 Unmet AI Needs report, a global survey of 413 AI leaders and practitioners across regulated industries. You'll get the data behind five findings reshaping how teams build, run, and govern enterprise agents:

- Why ongoing operations now cost more than the initial build for 71% of teams
- What's behind the 94% Day 2 failure rate and which failure modes hit hardest
- Why 64% of respondents are deploying outside the public cloud, and what that means for tooling choices
- How the average agentic stack ballooned to 12.6 distinct tools and what teams are doing about it
- Why governance — not capability — is the top blocker for scaling to 100+ agents

You'll leave with a clear read on where the industry actually is, the questions to ask before your next agent ships, and practical framing for the conversations you're having with your own team this quarter.

## ​Useful Links

• ​​​Free access to more talks/trainings: Ai+ Training platform
• ​​​ODSC blog: https://opendatascience.com/
• ​​​Slack Channel: https://hubs.li/Q03SyZP80
• ​​​Code of conduct: https://odsc.ai/code-of-conduct/