{
"author": {
"name": "Gerry Gloskin Darlene Pogrebinsky Phil Hatfield",
"webUrl": "/author/profile/gerry-gloskin-darlene-pogrebinsky-phil-hatfield/",
"description": "",
"imageLarge": "https://secure.gravatar.com/avatar/f16d6fc2845f417ea0e93a3f2b6cd37d?s=136&d=mm&r=g",
"estimate": 1,
"social": [],
"articles": [
{
"uri": "/2010/10/11/developing-and-implementing-data-for-insurance-analytics/",
"title": "Developing and Implementing Data for Insurance Analytics",
"byline": "Gerry Gloskin, Darlene Pogrebinsky, Phil Hatfield",
"kicker": "News",
"prettyDate": "October 11, 2010",
"timeToRead": "7 minute",
"image": {
"uri": "",
"width": "",
"height": ""
},
"authors": [
{
"webUrl": "/author/profile/gerry-gloskin-darlene-pogrebinsky-phil-hatfield/",
"name": "Gerry Gloskin, Darlene Pogrebinsky, Phil Hatfield"
}
],
"kickerNode": [
{
"uri": "/news/",
"sectionName": "News"
}
],
"summary": "Over the past decade, predictive analytics in the insurance industry has evolved from a tentative experiment to a competitive necessity.",
"body": null
}
]
}
}