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Customizing Personal Lines Insurance with Location Data

Cloudera

Insurers are increasingly adopting data from smart devices and related technologies to support and service their customers better. In this session, Denise mentioned a range of smart devices and related technology that insurers are adopting to support and service their customers better.

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Improve Underwriting Using Data and Analytics

Cloudera

Insurance carriers are always looking to improve operational efficiency. We’ve previously highlighted opportunities to improve digital claims processing with data and AI. In this post, I’ll explore opportunities to enhance risk assessment and underwriting, especially in personal lines and small and medium-sized enterprises.

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The most valuable AI use cases for business

IBM Big Data Hub

Assembling a version of the Mona Lisa in the style of Vincent van Gough is fun, but how often will that boost the bottom line? Here are 27 highly productive ways that AI use cases can help businesses improve their bottom line. Over at Spotify, they’ll suggest a new artist for the customer’s listening pleasure.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

A world where computer minds pilot self-driving cars, delve into complex scientific research, provide personalized customer service and even explore the unknown. It might answer questions about local culture and geography, even personalizing them based on the passenger’s interests. How can organizations prepare for AGI?

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Will Data Privacy drive an Enterprise Data Strategy?

Cloudera

Data privacy is an increasingly complex and contentious topic. The appropriate use of data and transparency to the potential uses of the data are at the center of debate amongst the largest Big Tech companies. . Virginia’s law will go into effect on January 1, 2023. Breaking down Silos.

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Automating ethics

O'Reilly on Data

But my suggestion ignores the reality that ethics has already been automated: merely claiming to make data-based recommendations without taking anything else into account is an ethical stance. The problem with data ethics is scale. These data flows go both ways. Don’t misconstrue this as an argument against the flow of data.

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An Important Guide To Unsupervised Machine Learning

Smart Data Collective

If you have labeled training data that you can use as a training example, we’ll call it supervised machine learning. Overall, unsupervised algorithms get to the point of unspecified data bits. Clustering – Exploration of Data. Nevertheless, they can help fetch valuable data insights. Source ].