Data and information management

Transamerica's head of finance and actuarial modernization took on a massive transformation effort late in the game, leading it to the finish line.

The CIO, institutional solutions looks to build a team diverse in representation and thought to bring the organization to a new level.

Blending next-gen data solutions with empathy for human-driven processes has helped strategic analytics SVP find success.

The OCR has hit the health insurer with the fine as part of a settlement from its massive January 2015 breach.

Carriers know they have to adapt their existing processes, but the potential is greater for more holistic changes to the industry, says Gartner’s Kimberly Harris-Ferrante.

The initiative, which will kick off in 2019, continues the life insurer's strategy of engaging the academic community to build a data talent pipeline.

Fintech company will integrate customers' auto and credit data to find suggested rates.

Finding critical data in a sea of company data can feel daunting. Start by creating a data inventory to help identify potential 'data hotspots,' recommends Matthew Nelson.

Cloud adoption is growing for virtualized workloads, with a majority of organizations running or planning to run virtual machines in the cloud this year.

Because the GDPR requires an opt-in system, insurers must request, receive, and capture customer consent in a secure, referrable way.

Hackers accessed information systems at Toyota Industries North America, compromising personal and protected health information.

New company provides short-duration life coverage for risky hobbies like kayaking or road biking via digital distribution.

Shared-mobility platforms will pus to think dynamically, such as pricing each mile for how it’s actually used.

Big data still commands big salaries, with top big data engineers expected to earn more than $200,000 heading into 2019. Here's what to expect for 10 other leading data management and database jobs.

While AI already impacts many areas of our lives, the majority of businesses are only beginning to understand the potential of AI for their industries.

Newly available data, together with machine learning, can help us better refine our risk prediction.

AI is slated to provide a large source of value and a key driver of competitive advantage going forward.

Despite growing interest in the various technologies that make up artificial intelligence, many organizations are concerned they might be increasing security vulnerability with their AI investments.

In insurance, the need to preserve existing technology investments must be balanced with shifting consumer expectations.

Carriers are looking to deploy AI and RPA tools to help defend against the onslaught.