Insights

From automation and data analysis, to internal communications and customer service, there’s a lot of power in Artificial Intelligence (AI).

One key to application modernization is moving from VMs for development to containers and Kubernetes.

With many enterprises looking to change the way they use technology in response to increasing competition and expectations, accelerating the delivery of high-quality products is critical.

Artificial Intelligence (AI) has graduated from buzzword to technical reality. For many enterprises, however, large hurdles remain in actually adopting AI into their businesses.

If data is the currency of today’s enterprises, analytics is the key to unlocking access to that currency. Without accurate analytics, data is just dormant information—useless, wasted, and needlessly...

As your enterprise migrates to the cloud, developing cloud native apps will likely be at the top of the list of your projects. Whether you’re doing the work in-house or with a partner, these are the...

As technology continues to advance, traditional business models are falling in its wake.

Edge computing comes in many flavors, but in basic terms it’s about pushing computing power closer to where it’s actually being used by the end user. Cellular technology on towers and infrastructure...

As a leader in the public cloud space, Microsoft Azure has a plethora of information available for clients and the curious. One of our favorites is the Standard Enterprise Governance Guide, a...

From chatbots to fraud detection to remote resource monitoring, enterprises are increasingly adopting Artificial Intelligence (AI). But while it can be tempting to jump right into the game, ...