Data strategy

IT spending is expected to rise for many organizations this year—including investments related to data management technologies—according to industry research.

Enterprise IT is experiencing a seismic shift that’s both technical and cultural, and companies need systems that are adaptable and “radically human” to thrive and innovate at scale.

Even though workers are relying on mobile devices and apps more than ever, many are not leveraging enterprise mobility management.

A majority of organizations cite problems dealing with the complex personnel, process and technology changes needed to modernize IT operations and enhance their ability to support business needs.

As businesses continue to embrace innovation, the following five trends should remain top of mind for organizations looking to continue to drive their digital transformation initiatives in 2019.

Artificial intelligence and machine learning have become essential for organizations to stay competitive. But adoption is lagging even among key decision-makers championing change.

A new study finds that leader effectiveness is directly correlated with perceptions of organizational readiness for digital transformation.

IT decision makers are increasingly frustrated by the complexity, bottlenecks and uncertainty of today’s enterprise data analytics, according to a recent survey.

This low maturity is creating an obstacle for firms wanting to increase the value of their data assets and exploit emerging analytics technologies, says Gartner's Melody Chien.

Whether it is public, private or a hybrid mix, cloud adoption is now widespread, but most organizations still lack a formal strategy around data migration and management in the cloud.