Tag: eim

Edge computing is rapidly gaining traction. However, many business leaders are unsure what it is and how it can help the bottom line. Here’s why.

Building a dynamic cloud strategy is about first understanding your existing IT portfolio and then taking smart decisions on migrating or rebuilding.

How long would a restaurant survive if it ignored customer concerns and never improved? Why should search applications be any different?

Distributed cloud computing is gaining traction in the digital workplace as more workers are forced to work from home. Here’s why.

What is your IT organization up to today? Is it focused on solving the right problems with data?

Workers are more likely to ensure job security by helping drive digital transformation than preventing it.

Kevin Nanney of ServiceNow discusses preparing organizations for a digital workplace, the role of culture and how to measure success.

When looking at content in an enterprise, there are three basic types of content: collaborative, archival and transactional.

While many enterprises still only see RPA as a way to improve productivity, others see it as a safety measure to help weather the shock of future disruptions.

Organizations need solutions, processes and cultures that foster an ongoing dedication to information security without getting in the way of productivity.

As business processes increasingly move into the digital realm, developers should focus on broader business goals before rushing to implementation.

While spending on most tech will likely to fall in the coming year, the same cannot be said for cloud computing. In fact, it's expected to grow. Here's why.

Data management is moving to the center of the enterprise as dispersed teams and working becomes widespread, resulting in the need for better data strategies.

In an honest reckoning, most companies will realize that sooner or later the public cloud’s bad outweighs the good for their business.

Data centers eat huge amounts of power, which creates environmental problems. However, as Microsoft has recently shown, there are solutions.

The more we advance in machine learning (ML) and artificial intelligence (AI), the more we realize how exquisitely complex human intelligence is.

Modern applications respond to four needs of the modern workplace: scalability, portability, resiliency and agility.

The constant evolution of technology leaves businesses with the question: keep things simple or diversify and add to a tech stack’s complexity?

The pandemic focused attention on the role of the chief data officer. Here's what they are doing to chart the road ahead.

As data becomes central to business operations, the role and responsibility of the chief data officer grows alongside it.