Bob Violino

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.

The fastest growing job roles will be data scientist, machine learning design/development/engineer and data engineer.

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.

Business and IT professionals think the CDO role is becoming ever more relevant, demonstrating a clear mandate for the CDO to accomplish his or her digital objectives.

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

Artificial intelligence will shape the technology landscape of the 2020s, but unintended consequences pose big risks, according to a new report from ISACA.

The findings of a new survey show that many field agents think the technology tools provided by their organizations are not evolving as quickly as their needs are.

Decision makers highlight the ability to interact and collaborate across departments as the most valuable capability to help organizations successfully execute internal digital initiatives.

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.

Most business leaders think digitization can help address growing customer expectations for rapid and personalized engagement, and are beginning this process by refining business operations.

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.

Organizations are trying to balance their desire for new innovations with their need for strong cyber security, according to a new report from CompTIA, a technology industry trade association.

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

Although nearly all large enterprises are pursuing improvement initiatives, digitizing the business is less about disruption and more about meeting focused objectives, says a new study.

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.

Next-generation data storage involves technically-advanced products that are more efficient than conventional products at handling voluminous information on a daily basis.