Session: Wells Fargo Foundation Model: Application to Fraud Detection at Scale
AI Engineer New York 2026
Session
Freddy Lecue explains why Wells Fargo trained a transformer on transactions rather than text, how it tokenizes heterogeneous banking data, and how the resulting representation supports fraud detection.
Conference topics
conference-speakerconferenceSpeakerGet every conference speaker signal for Wells Fargo and the companies you sell to, in the tools you already use.
Connect Autobound to Claude, Claude Code or Cursor with MCP. Then ask: “What changed at Wells Fargo this week?”
The Signal API returns conference speaker signals for any list of companies as JSON, for your CRM, warehouse or app.
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This page shows a preview. The full conference-speaker record in the Signal API and MCP can also have these 19 fields. Some fields are empty for some signals.
Contact
full_nameValue in the APIjob_titleValue in the APIlinkedin_urlValue in the APIemailValue in the APIfirst_nameValue in the APIlast_nameValue in the APIcityValue in the APIstateValue in the APIcountryValue in the APIseniorityValue in the APICompany
linkedin_urlValue in the APIindustriesValue in the APIemployee_count_lowValue in the APIemployee_count_highValue in the APIrevenueValue in the APIdescriptionValue in the APISignal
signal_nameValue in the APIassociationValue in the APIAnd 1 more fields.
GET /v1/signals/7472efc6-6f6d-55a5-a98d-9ec20beb6e70 returns this record as JSON. POST /v1/companies/enrich returns every signal for wellsfargo.com.
{
"signal_id": "7472efc6-6f6d-55a5-a98d-9ec20beb6e70",
"signal_type": "conference-speaker",
"signal_subtype": "conferenceSpeaker",
"detected_at": "2026-10-31T00:00:00+00:00",
"company": {
"name": "Wells Fargo",
"domain": "wellsfargo.com"
},
"data": {
"summary": "Freddy Lecue (Head of Frontier AI Models, Managing Director, Wells Fargo) at AI Engineer New York 2026.",
"relevance": 0.82,
"confidence": "high",
"session_type": "talk",
"session_title": "Wells Fargo Foundation Model: Application to Fraud Detection at Scale",
"session_track": "Main stage",
"conference_url": "https://www.ai.engineer/nyc/2026",
"conference_date": "2026-10-14",
"conference_name": "AI Engineer New York 2026",
"is_future_event": false,
"contact_resolved": true,
"conference_topics": [
"AI engineering",
"production AI",
"AI agents",
"LLMs",
"finance",
"fintech",
"AI security",
"ML infrastructure"
],
"extraction_method": "llm-agenda",
"domain_match_score": 10,
"conference_end_date": "2026-10-14",
"conference_location": "New York, NY",
"session_description": "Freddy Lecue explains why Wells Fargo trained a transformer on transactions rather than text, how it tokenizes heterogeneous banking data, and how the resulting representation supports fraud detection.",
"session_recording_url": "https://www.youtube.com/watch?v=akEqiXFo3GM&t=5321s",
"conference_description": "An AI conference in New York for engineers and technical leaders building production AI across banking, hedge funds, fintech, insurance, and asset management. It features talks from companies like OpenAI, Anthropic, Two Sigma, Bridgewater, and Citadel Securities, with a strong focus on practical AI",
"domain_match_confidence": "high",
"conference_estimated_size": "1000"
}
}
curl https://signals.autobound.ai/v1/signals/7472efc6-6f6d-55a5-a98d-9ec20beb6e70 \
-H "X-API-KEY: $AUTOBOUND_API_KEY"curl -X POST https://signals.autobound.ai/v1/companies/enrich \
-H "X-API-KEY: $AUTOBOUND_API_KEY" \
-H "Content-Type: application/json" \
-d '{"domain":"wellsfargo.com","limit":20}'Long text fields are shortened on this page.
Looking up one signal by its id is free. Enrich costs 2 credits per signal returned; a call with no results is free.