NDYNAMICS Blog

It is a common frustration when a workstation that once felt fast begins to lag. As you perform your daily tasks, the operating system collects digital baggage that interferes with performance.

You do not always need to spend money on new hardware to solve this. Often, the goal is simply to use the technology you already have in a more effective way. When a computer slows down, it is usually because the system resources are being stretched too thin by background processes and unnecessary files.

If you’ve played with AI for any purpose, but particularly for your business’ benefit, you may have found your results less than impressive. One of the biggest challenges of working with artificial intelligence is our assumption that our instructions are sufficient, even when they are vague or non-specific.

A prompt of this caliber will not produce the quality responses that you need. Instead, you need to use “prompt engineering” to come up with a request that will. Fortunately, you can improve your prompts considerably by simply remembering three things.

How effectively can you multitask in the office? Are you known to have multiple windows and tabs open at any given time? With so many windows, applications, and tabs cluttering your brain, it helps to have tricks to keep them all in line. Using Smart windows (or Snap windows), you can place two or more side-by-side to clear things up a bit and make working in multiple apps or windows easier than ever.

Unfortunately, most people can relate to the feeling when you’re busy, but you really aren’t getting anything meaningful accomplished. Imagine a workplace where being busy actually means brilliantly productive. If that is the sweet spot you’re looking for, this blog is for you.

When did you last open a spreadsheet and just sigh upon seeing the expanse of data points, with a sigh that comes from the deepest depths of your soul? It’s a fair reaction to have… especially when you know how much value there is to be found within these data sets.

Let’s walk through how you can extract this data by using Microsoft Excel’s Quick Analysis features… and don’t worry if you tend to use Google Sheets. The processes are essentially the same for everything we’re covering.