InformationWeek

Google offers a look at some additional features being introduced to Anthos and where it fits in cloud transformation.

Are you looking at the big picture? Today's enterprise organizations must align their digital talent strategy through a lens of recruitment and retention.

At an Oracle OpenWorld keynote address, Larry Ellison said the autonomous nature of Oracle's cloud could protect customers from data breaches, and announced several product updates.

Digital transformation, cloud adoption and AI seem to be taking longer than people expected. Why is that a surprise?

While there are no easy answers or magical tools to address the complexity issues, some fundamental architectural planning can be done.

AI software is everywhere, yet only a handful of offerings target specific demands. How can enterprises customize generic AI tools to meet their unique needs?

A team of experts learned from their application of AI across a variety of real-world projects. Here are six steps they recommend for CIOs engaging with AI.

To make the most of going digital, organizations must transform legacy operations and invest in new digital business, according to consulting firm McKinsey.

Automation isn't new to IT, but autonomous systems are, which is why IT leaders and professionals have to think about the value they're delivering, again.

As the dust clears from HPE's acquisition of MapR in the climax of the Hadoop story, Cloudera sets out the plan for an era of big data platforms in the cloud.

Instilling a culture of performance is really all about serving your customers. In most cases, what they want is speed above all else.

In an era when systems and applications are dispersed throughout the enterprise and the cloud, IT leaders have to rethink their disaster recovery plans.

AI and other fresh ideas can put organizations on the path to transformation, but their champions may face systemic pushback from entrenched team members.

A new KPMG report provides an inside view into how big companies are investing in and deploying artificial intelligence and machine learning technology.

The Internet has created more individual privacy than any technology in human history. So why are we constantly told otherwise?

Just because an analyst hits the ground running does not mean that analyst has the ongoing breadth needed to solve every day analytics problems.

Enterprises have been pivoting to the cloud -- attracted by hopes of increased agility, higher service levels and lower cost. Are they getting what they expected?

Sorting out the conflicting approaches of security and development teams is essential for digital transformation to advance, particularly in regulated sectors.

Data science and machine learning are gaining more of a foothold in organizations of all sizes, but the largest of organizations have the advantage of more resources to invest.

Like most things in the world of data, creating and maintaining governance policies in a multi-cloud environment requires constant compromise and negotiation.