It’s easy to worry about the costs of updating one’s services, but truly innovative companies consider the risks of modernizing legacy technology too late.

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Machine learning is an innovative field, but how do we design solid roadmaps to develop it? Here are our top tips for how to plan for machine learning projects.

Sphere Software Reimagines Hiring, Retaining and Developing Technology Talent

By 2022, the demand for advanced technology skill sets will exceed the supply of workers with these skills creating a shortage of 900,000 professionals in the U.S. alone.*

This talent shortfall is projected to represent approximately 1.4 billion hours of lost productivity each year.*

Artificial intelligence is already an ever-present concept and a widespread technology. Simply look at the growth scale of AI-related tech such as phone assistants, smart home hubs and other applications. Despite its growing prevalence, AI is still in the early stages of enterprise adoption. Companies are scratching the surface of AI’s potential. Many believe this technology is the most important discovery of all time, and the numbers support that theory, as AI has undergone staggering growth since its inception.

The choice between PHP and Node.js is sometimes characterized as a battle, even a war. But the situation is more complicated than a simple either-or. The two technologies have different advantage and disadvantages, depending on the project, and do not necessarily need to be thought of as rivals. Below, we will look at some of the reasons you might choose one over the other. We’ll begin with a general idea of what each one is and does.

Does your company need to modernize legacy software? Here we describe not only what the issues with legacy software are, but how to fix them effectively.

Out with the old, in with the new – that’s how the saying goes. There comes a time in any program’s lifecycle when even the most up-to-date operating system, platform or data management software starts showing signs of age, and it can be tempting to swap everything out for the Next Big Thing.