Articles

What if your business network could grow or shrink as needed?

When it comes to training your employees, your efforts need to much beyond that "tell me how to sell this pen".

In 2015, Starbucks launched Mobile Order & Pay. Today, it accounts for nearly a quarter of their total U.S. retail orders. 

Coming across an image in a sea of data is an overwhelming relief.

Most Industry 4.0 success stories mention large multinational companies such as GE or ABB.

Automation and artificial intelligence (AI) are important, interrelated tools that help organizations streamline their processes and add intelligence to their workflows. They allow businesses to reach organizational goals by automating business processes, whereby they can increase efficiency and adapt to new business procedures. 

If your business isn’t taking a close look at its data, there’s a whole world of possibilities that you're missing.

Disasters happen in the blink of an eye.

What is data lifecycle management? Data lifecycle management (DLM)  is the process of managing business data from creation to deletion. As work becomes increasingly data-driven, businesses must develop policies and procedures for generating, storing, and, eventually, retiring their data. DLM is not a specific product but rather an approach to managing proprietary data. The process includes managing applications, systems, databases, and storage media.

There are some colors that just look wrong together.