Data management

The key to meeting consumer demands for greater personalization while boosting growth in an increasingly competitive industry lies in using the full array of data available.

Now more than ever, organizations realize that to manage their unprecedented data growth, a solid data strategy must be front and center for them to survive and thrive.

American Crop Insurance will use a risk management platform from Farmers Edge partner to improve insurance services for its clients.

A new report shows that enterprises need to change their mindsets to achieve sophisticated levels of digital maturity.

Decision makers oftentimes do not fully understand the technology and have not thought through the true costs of implementing artificial intelligence in their organization.

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.

A majority of enterprises think their networks are not fully ready to support their operations, with misalignment between IT and business needs cited as one of the top barriers to effective enterprise networks.

The market for edge computing, which supports a distributed computing model that brings analytics and data storage closer to the locations where they are needed, is on the rise, says new study.

In his new book, author Thomas M. Siebel stresses that organizations that can truly harness the power of data by leveraging the cloud, AI, and IoT will master the new digital land.

With Big Tech accused of everything from decimating industries to abusing data privacy, calls are growing for the creation of a federal regulator.