Data management

Organizations have made it a high priority to better manage their data and keep it secure. And in 2020, many will be spending more on IT to meet these goals.

Richard White joins the insurer from the Federal Reserve Bank of N.Y.

Data mining can help enterprises identify anomalies, patterns, and correlations within large unstructured data sets to predict business outcomes.

The global chatbot market was valued at $1.17 billion in 2018 and is expected to reach $10.08 billion by 2026, expanding at a compound annual growth rate of 31 percent, according to research firm Reports and Data.

CDI involves not only collecting the data from numerous sources, but organizing and analyzing it in such a way that enterprises can easily share it among business users in areas such as sales, marketing and customer support.

There’s a scramble going on to match business operations to new and emerging cultural and social expectations. For insurers, meeting these new expectations is about nothing less than the future of the insurance industry.

Organizations that excel at scaling technology innovation generate double the revenue growth, according to a new report from IT services and consulting firm Accenture.

A majority of analytics projects are jeopardized due to poor access to the right data, according to a new report by analytics database provider Exasol.

Recognizing and knowing where to find the most common pain points in advance allows the organization to allocate the additional time or resources needed to prevent the whole project from stalling.

Most businesses find robotic process automation effective but difficult to deploy and maintain, according to new research.