AI in Data Management Summit New York City
MAIN MENU
AI in Data Management Summit New York City
March, 2027
Venue Details
@Ease 1345, Avenue of the Americas, New York, NY 10019
When you arrive at the main entrance on 6th/Avenue of Americas, please check in with the security desk. You will need a valid photo ID. Once through security, please take the elevators to the Concourse Level.
@Ease 1345 is where calm meets creativity. Surrounded by curated greenery, soft lighting, and refined finishes, this space offers a serene escape from the energy of the city. Ideal for intimate meetings, wellness gatherings, or elevated offsites, it’s a venue designed to quiet the noise and inspire clear thinking. Discover a setting where your guests can connect, unwind, focus, and truly be @Ease.
Location
@Ease 1345 Avenue of the Americas
Arriving by Subway
57th Street Station
7th Avenue Station
Arriving by Bus
Avenue of Americas W 54-56th
Accessible via M5, M7, QM1, QM2, QM4, QM5, QM6, QM20
Arriving by Car
Get directions using Google Maps
Nearby Parking
ICON: 1340 Avenue of Americas
The 1345 Garage: 155 6th Avenue
Arriving by Train
Grand Central Station
Similar A-Team Group events
Book now
Data Management Summit London
21 April, 2027
Now in its 17th year, Data Management Summit (DMS) London returns In April 2027, to explore how to use data and AI to drive measurable business outcomes reliably, repeatedly and at scale.
Remind me
AI in Capital Markets Summit London
June, 2027
Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.
Book now
Data Management Summit New York City
September, 2027
Now in its 16th year, Data Management Summit (DMS) NYC returns on September 17th 2026, to explore how to use data and AI to drive measurable business outcomes – reliably, repeatedly and at scale.