{
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  "@id": "https://anchorfact.org/kb/ai-call-center",
  "headline": "AI for Call Centers: Speech Analytics, Real-Time Agent Assist, and Sentiment Detection",
  "description": "AI is the silent coach on every customer service call -- transcribing conversations in real-time, suggesting the best responses, detecting customer frustration, and scoring quality across every interaction. From Cresta to Gong, AI transforms call centers from cost centers into intelligence hubs.",
  "dateCreated": "2026-05-24T02:49:13.476Z",
  "dateModified": "2026-05-24",
  "author": {
    "@type": "Organization",
    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "ai_assisted",
  "citation": [
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      "name": "AI-Powered Contact Center Transformation: Real-Time Agent Assist, Speech Analytics, and Quality Management (2024-2025 Survey)",
      "sameAs": "https://arxiv.org/search/?query=call+center+AI+agent+assist+speech+analytics"
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      "@type": "CreativeWork",
      "name": "Deep Learning for Conversational Speech Analytics: Sentiment, Emotion, and Intent Detection in Contact Centers",
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