Data management

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.

Like bedroom closets crammed full of outdated clothes and unused gifts, legacy core systems in some organizations have become vessels of useless clutter.

With no international alignment on how to regulate the digital environment, organizations are managing an increasingly complicated set of conflicting rules in key markets.

Geospatial data makes it possible to use point-to-point mapping apps to reach unfamiliar destinations, track incoming flights before heading to the airport or even check weather forecasts.

Ensuring the quality of data becomes increasingly important so that organizations don’t wind up making bigger mistakes.