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UID:ai.engineer/nyc
DTSTAMP:20260805T142013Z
DTSTART;VALUE=DATE:20261012
DTEND;VALUE=DATE:20261015
SUMMARY:AI Engineer New York 2026
DESCRIPTION:### Overview\nAI Engineer New York 2026 is a flagship in person event that brings together AI engineers\, researchers\, CTOs\, and leaders in finance to explore production AI at scale. The conference is scheduled for October 12–14\, 2026 at the Sheraton New York Times Square Hotel in Midtown Manhattan\, New York\, US. The program centers on finance specific AI\, production systems\, and real world deployments across banking\, fintech\, insurance and asset management. The event is organized by AI Engineer and presented in partnership with major institutions and technology firms. Attendees can expect a mix of keynote talks\, production case studies\, hands on workshops\, expo floor experiences\, and facilitated discussions that connect engineers with executives and decision makers in financial services.\n\n### Agenda\nThe three day program includes keynote sessions\, production AI talks\, and deep dives into AI infrastructure and deployment. Day 1 features opening keynotes and talks focused on production AI case studies and early deployments in finance\, followed by a welcome reception and networking. Day 2 covers deep dives\, expo sessions\, and workshops dedicated to AI infrastructure\, model serving\, and regulatory tooling for financial services. Day 3 emphasizes hands on workshops\, executive roundtables\, and closing sessions that wrap up with continued networking. There are also dedicated expo areas where sponsors demonstrate their AI tooling for financial services\, from model platforms to compliance tooling and deployment solutions. The formats listed include Stage Talks\, Workshops\, Lightning Talks\, and Online Talks\, with clear time allocations such as 15–20 minutes for stage talks and 1–2 hour blocks for workshops.\n\n### Speakers and Sessions\nThe program features prominent industry figures and leading AI teams from major financial institutions. Examples of speakers include engineers and leaders from Morgan Stanley\, BlackRock\, Capital One\, Bloomberg\, Jane Street\, Fidelity and other industry luminaries. Attendees will hear about production AI\, AI infrastructure\, model serving\, and enterprise deployment strategies. There are also sessions highlighting curated roundtables\, discussions\, and networking opportunities designed to facilitate high signal conversations among CTOs\, CIOs\, VPs of AI/ML\, and founders.\n\n### Format\nExpect a multi track experience with keynote sessions\, production talks\, hands on workshops\, expo demonstrations\, and facilitated discussions. The event emphasizes practical\, production level AI rather than vendor pitches on the main stage\, while workshops and expo areas provide deeper technical exploration and hands on learning. Networking opportunities are woven throughout the program\, including welcome receptions and executive roundtables to maximize collaboration between engineers and senior leaders in finance and technology.\n\n### Who should attend\nIFInancial services leaders\, AI engineers\, researchers\, ML engineers\, data scientists\, product managers\, and executives who are actively deploying or evaluating AI in banking\, fintech\, asset management\, and insurance. The event is ideal for those seeking concrete production know how\, real world case studies\, and practical guidance on building\, scaling\, and governing AI in finance.\n\n### Venue and practical details\nThe Sheraton New York Times Square Hotel in Midtown Manhattan hosts the event\, offering ballrooms and expo space suitable for a large\, multi day conference. The event is in person with streaming and online components as described on the event pages. Attendees should plan for travel to New York City and can look forward to a well connected venue\, ample networking opportunities\, and a program designed for practical AI deployment in financial services.\nhttps://ai.engineer/nyc?ref=ainave
LOCATION:New York\, United States\, US
URL;VALUE=URI:https://ai.engineer/nyc?ref=ainave
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