Trailblazers Tech Solutions Blog

People do this all the time: if they don’t know an answer, they just make something up that sounds right. It turns out AI has the same bad habit.

Automation makes sense from an operations standpoint, and people see this despite the many who advocate for scaling back to save jobs. For every task that can be completed, however, less than half can be automated. When you consider all the tasks that a human might be responsible for at their job, that number further dwindles, resulting in surprisingly few jobs that can be fully automated by artificial intelligence. Today, we want to look at reasons why you shouldn’t implement automation for certain tasks and why working with humans is still the right call for many.

Artificial intelligence can be found just about everywhere nowadays, especially in businesses. Despite this, many people lack essential knowledge about AI, not knowing what it is or does. Worse, most don’t know how to put it to use.

Let’s explore the concept of AI literacy and how it can help you.

AI is popping up everywhere these days, and one place you've probably noticed it is at the top of Google search results. Google's AI-generated answers can sometimes be helpful, but they can also be misleading or just plain wrong, depending on where the info comes from. If you'd rather not deal with them, there are actually a few ways to turn them off.

In the pursuit of harnessing data effectively, businesses use various strategies like business intelligence and artificial intelligence integration. Accurate and reliable data is very important. Wrong data can cause mistakes and give wrong information. Thus, understanding how to clean or scrub data is essential for anyone involved in business intelligence or AI. This guide will explore data cleaning and provide a simple starting point.