Conference Speaker Signals

{
  "signal_id": "9d6f2c81-4a35-4e97-b208-1c5e8f3a7d46",
  "signal_type": "conference-speaker",
  "signal_subtype": "conferenceSpeaker",
  "detected_at": "2026-05-04T09:00:00Z",
  "association": "contact",
  "contact": {
    "name": "Sarah Chen",
    "email": "s***@databricks.com",  // match on email
    "job_title": "VP of Product",
    "linkedin_url": "linkedin.com/in/sarahchen-databricks"  // or match on LinkedIn URL
  },
  "company": {
    "name": "Databricks",
    "domain": "databricks.com",
    "linkedin_url": "linkedin.com/company/databricks",
    "industries": ["Data Engineering", "Machine Learning", "Cloud Analytics"],
    "employee_count_low": 5001,
    "employee_count_high": 10000,
    "description": "Unified data analytics and AI platform..."
  },
  "data": {
    "conference_name": "Gartner Data & Analytics Summit 2026",
    "conference_url": "https://www.gartner.com/en/conferences/na/data-analytics-us",
    "conference_date": "2026-04-28",
    "conference_end_date": "2026-05-01",
    "conference_location": "Orlando, FL",
    "conference_topics": ["Data Engineering", "AI/ML", "Analytics", "Data Governance"],
    "conference_estimated_size": 5000,
    "session_title": "From Notebook to Production: Closing the ML Deployment Gap",
    "session_description": "How lakehouse architecture lets data teams move ML models from experimentation to production without tooling sprawl.",
    "session_type": "keynote",
    "session_track": "Data Engineering",
    "session_recording_url": null,
    "co_speakers": [],
    "speaker_bio": "Sarah Chen is VP of Product at Databricks, leading product strategy for the Lakehouse platform.",
    "relevance_score": 0.94,  // 0.0-1.0; higher = more actionable for outreach
    "contact_resolved": true
  }
}