{
  "author": {
    "name": "Kaleb Adams",
    "webUrl": "/author/profile/kaleb-adams/",
    "description": "",
    "imageLarge": "https://secure.gravatar.com/avatar/f16d6fc2845f417ea0e93a3f2b6cd37d?s=136&d=mm&r=g",
    "estimate": 1,
    "social": [],
    "articles": [
      {
        "uri": "/2010/04/14/tech-to-the-rescue-how-predictive-modeling-can-sav/",
        "title": "Tech to The Rescue! How Predictive Modeling Can Save Workers' Compensation Carriers",
        "byline": "Kaleb Adams",
        "kicker": "",
        "prettyDate": "April 14, 2010",
        "timeToRead": "4 minute",
        "image": {
          "uri": "",
          "width": "",
          "height": ""
        },
        "authors": [
          {
            "webUrl": "/author/profile/kaleb-adams/",
            "name": "Kaleb Adams"
          }
        ],
        "kickerNode": [],
        "summary": "A growing number of workers' comp carriers are refining their underwriting and pricing approaches by data-mining their own systems along with external sources to transform their business.",
        "body": null
      }
    ]
  }
}