Data and information management

Even the best predictive analytics platforms will still need a human mind to tackle high-level analysis. Look for major changes in almost all human roles to come.

The company's fully digital policy acquisition process helps increase its reach in an elusive sector.

Looking to learn more about big data challenges, machine learning potential or data science opportunities? These titles may be just the ticket.

How can one remain true to the concept while also bringing in the technical depth and the 'flexible coupling' that come from a separate team?

The insurer gets access to data from participating auto manufacturers, including Mitsubishi.

Log-in attempts continued on 2 sites for two days in early June and likely came from foreign sources.

Insurers are face challenges navigating GDPR and dealing with many different repositories of information, among others.

Cybersecurity regulation for carriers in the US is turning into a many-sizes, many-models scenario, with overlapping and variable regulatory requirements.

Powerful technologies get all the hype, but human and organizational factors are usually the most important in successful transformations.

To make the most of what can be empowering technology, a device must be simultaneously optimized to do its job while also not exposing personal data, as they do generate a generous amount of it.