{
  "author": {
    "name": "Donald Siegrist",
    "webUrl": "/author/profile/donald-siegrist/",
    "description": "",
    "imageLarge": "https://secure.gravatar.com/avatar/f16d6fc2845f417ea0e93a3f2b6cd37d?s=136&d=mm&r=g",
    "estimate": 1,
    "social": [],
    "articles": [
      {
        "uri": "/2016/01/11/how-predictive-modeling-is-flagging-fraudulent-claims/",
        "title": "How predictive modeling is flagging fraudulent claims",
        "byline": "Donald Siegrist",
        "kicker": "News",
        "prettyDate": "January 11, 2016",
        "timeToRead": "6 minute",
        "image": {
          "uri": "",
          "width": "",
          "height": ""
        },
        "authors": [
          {
            "webUrl": "/author/profile/donald-siegrist/",
            "name": "Donald Siegrist"
          }
        ],
        "kickerNode": [
          {
            "uri": "/news/",
            "sectionName": "News"
          }
        ],
        "summary": "It can be a balancing act to identify potentially fraudulent claims and still provide superior customer service for justified claims, a handful of factors can ensure success.",
        "body": null
      }
    ]
  }
}