Predictive analytics

CSS insurance uses fast sentiment analysis on communications, helping the insurer steer customers toward the best treatment option.

Top reasons cited include rapid technology development, followed by customer needs and expectations, and the need to break down internal siloes to enable better decision-making.

Advanced analytics capabilities are the key platform for new products and services, EY’s David Bassi says.

Members of the Society for Information Management speak out on their initial successes with artificial intelligence, and what future role they think the technology will play.

CIO Jamie Roser credits the carrier’s quick expansion over its five-year lifespan as a company to its digital strategy centered on a cloud-based core system.

Many organizations have shortcomings in the areas of data management and governance, and don't believe they have the insights needed to drive decision-making, says David Stodder.

The technologies are top of mind for the carrier in its efforts to modernize underwriting and claims management, says Puneet Bhardwaj, SVP of digital analytics.

Organizations need to continue to build an agile data environment that can accommodate traditional BI platforms in concert with a modern information environment.

Business-wide transformation begins with a thorough diagnostic of competitive strengths and challenges that enables leaders to prioritize where they want to start.

Blackstone’s foray will be a key test case in how to channel data from the traditionally opaque world of alternative assets.