Interesting to see how MetLife are seeking to exploit big data and analytics including analytics in the call centre.
New version 11.00 of IDOL from HP Enterprise helps that use case.
- Rich Media Analytics: Incorporates neural network based deep learning functionality to enhance the accuracy of rich media analytics such as speech-to-text conversion (HPE IDOL can transcribe in almost 30 languages), face detection and speaker identification.
Then structure that data in a purpose built big data analytics platform to deal with the large volume, high velocity and complex variety of data.
Many insurance companies find it hard to facilitate communication and collaboration between departments. Risk Management, Marketing, Loss Adjusters do not talk to each other. Use collaborate BI platforms that include self-service analytics to help overcome that.
Analytics with insights to manage the complete life-cycle of insurance from planning products, to processing claims to managing repair and replacement
axholdt said machine learning could play a big role in enabling MetLife to harness IoT data. “We’re exploring a lot of our access to unstructured data and we’re using machine learning for that,” she said. Haxholdt said that machine learning was being developed in-house by MetLife data scientists, but added that the insurance company was also partnering with external organisations in this area. She said one potential application for machine learning is with speech analytics in its call centre.
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