Data Conference Databasea Query.Farm index
Conferences / Alternative Data Conference

Eagle Alpha Alternative Data Conference, Spring, New York, hosted by A-Team Group

Mar 18, 2026 · @Ease, 1345 Avenue of the Americas, New York, NY, United States

Conference
Alternative Data Conference Vendor & industry
Dates
Mar 18, 2026
Venue
@Ease, 1345 Avenue of the Americas
Place
New York, NY, United States
Format
In person
Status
Past
Attendance
—
Website
a-teaminsight.com
Recorded
13 sponsors · 35 speaker appearances
Notes
First edition run by A-Team Group ('now in its 8th year'). Two afternoon streams (A: Alpha, Signals and Production; B: Buying, Controlling and Scaling); stream chairs Andrew Delaney and Lorna Van Zyl (A-Team) not listed separately. Speakers: full agenda as archived 13 Mar 2026. Sponsors: page as archived 7 Mar 2026 (company names from logo links/file names). Sensor Tower appears as a gold sponsor only on later snapshots, so it is not recorded here.

Ticket prices

TicketPriceValid untilNotesSource
Hosted Buyer Program (investment firms, subject to approval)$0—Complimentary in exchange for taking 5 x 15-minute vendor meetingsweb.archive.org
Buy-side Delegate$299—web.archive.org
Vendor General Attendance$5,000—High-top table for meetings, 1-1 meeting platform, 2 staff passes, logo on website; also quoted as £3,800web.archive.org

Sponsors 13

Platinum 1

Gold 5

Silver 4

Community 2

Media 1

Speakers and talks 35

SpeakerCompanyRoleTalkLinks
Apurv JainMacroX StudioKeynoteKeynote Address: The NextGen Multimodal Economist: A Demo—
Andrew DelaneyA-Team GroupModeratorPanel: How use AI to build better data products—
Andrew DelaneyA-Team GroupHostOpening and welcome—
Andrew SpragueSensor TowerPanelistLEADERS PANEL: The State of Alt Data in 2026 – what's changed that actually matters—
Apurv JainMacroX StudioPanelistLEADERS PANEL: The State of Alt Data in 2026 – what's changed that actually matters—
Brendan FurlongEagle AlphaModeratorData Quality Lab—
Brendan FurlongEagle AlphaFireside chatFireside Chat: Mapping Taiwan Retail Market Dynamics: Order Flow, Transactions, and Retail Sentiment—
Carrie AntonJain GlobalPanelistPanel: How funds decide to license a dataset: trials, pitfalls, and what breaks deals—
Chris KelliherFidelity InvestmentsModeratorPanel: Synthetic Data: When it helps, when it's a trap, and how to validate it—
Chris KelliherFidelity InvestmentsPanelistPanel: How use AI to build better data products—
Christos KoutsoyannisAtlas Ridge CapitalModeratorLEADERS PANEL: The State of Alt Data in 2026 – what's changed that actually matters—
David X MartinArctium Capital ManagementPanelistLEADERS PANEL: The State of Alt Data in 2026 – what's changed that actually matters—
Don D'AmicoGlacier NetworkPanelistPanel: How funds decide to license a dataset: trials, pitfalls, and what breaks deals—
Duncan RobinsonFranklin TempletonPanelistClosing Discussion: Democratization of alternative data – when everyone has LLMs, what still creates edge?—
Eliza RaphaelJump TradingPanelistLEADERS PANEL: The State of Alt Data in 2026 – what's changed that actually matters—
Ellison KandlerSyntaxPanelistClosing Discussion: Democratization of alternative data – when everyone has LLMs, what still creates edge?—
Enrico DallavecchiaArctium Capital ManagementPanelistData Quality Lab—
Eric DuncanDatabentoModeratorPanel: How funds decide to license a dataset: trials, pitfalls, and what breaks deals—
Evan ReichVerition Fund ManagementPanelistClosing Discussion: Democratization of alternative data – when everyone has LLMs, what still creates edge?—
Gordon RitterRitter AlphaPanelistClosing Discussion: Democratization of alternative data – when everyone has LLMs, what still creates edge?—
Iro TasitsiomiT. Rowe PricePanelistPanel: Synthetic Data: When it helps, when it's a trap, and how to validate it—
Isabel AhslerSensor TowerPanelistData Quality Lab—
Jack YehCMoneyFireside chatFireside Chat: Mapping Taiwan Retail Market Dynamics: Order Flow, Transactions, and Retail Sentiment—
Jeffrey Maron7RIDGEPanelistPanel: Synthetic Data: When it helps, when it's a trap, and how to validate it—
Julia BardmesserData ExpertFireside chatFireside Chat: Private Market Pricing Data: Transparency, Trends & Opportunity—
Kathryn ZhaoCornell UniversityModeratorClosing Discussion: Democratization of alternative data – when everyone has LLMs, what still creates edge?—
Mark Fleming WilliamsCapital Fund ManagementPanelistPanel: How funds decide to license a dataset: trials, pitfalls, and what breaks deals—
Mike SossMillburnPanelistData Quality Lab—
Nick FuscoPM InsightsFireside chatFireside Chat: Private Market Pricing Data: Transparency, Trends & Opportunity—
Norman NiemerUBSPanelistLEADERS PANEL: The State of Alt Data in 2026 – what's changed that actually matters—
Samantha MaitBalyasny Asset ManagementPanelistData Quality Lab—
Sarkis AgaianLaurion Capital ManagementPanelistPanel: Synthetic Data: When it helps, when it's a trap, and how to validate it—
Sid GhatakIncrease AlphaPanelistPanel: How use AI to build better data products—
Tony BerkmanTwo SigmaPanelistClosing Discussion: Democratization of alternative data – when everyone has LLMs, what still creates edge?—
Yifang CaoJupiter Research CapitalPanelistPanel: Synthetic Data: When it helps, when it's a trap, and how to validate it—

Sources