It should come as no surprise that cybersecurity is a big challenge for businesses and individuals alike. The problem: life pretty much revolves around being online these days, so there’s no avoiding it. Therefore, it’s your responsibility to ensure that any data you collect from your customers, employees, and other key stakeholders in your business is well-protected, otherwise you will face severe consequences.
Smart speakers have been around for a while, but let’s be honest—they haven’t exactly changed the world. Sure, they’re great for playing music, setting timers, and answering random trivia questions, but beyond that? Not much has evolved. So, how did we get here, and what’s next? More importantly, can they actually be useful for businesses, or are they just another gadget collecting dust?
Besides all of those people who are advocating for the scaling back or non-implementation of tools to save jobs, most people understand the benefit of automation when it makes sense. Not only do machines tend to do certain tasks more effectively, they never willingly take a day off. Unfortunately, for every task that needs to be completed less than half can be automated, and that number drops even further when you take into account everything a human does at their job. Today, there are very few jobs that can be fully automated; even as AI has begun to be used more for business. This week, we wanted to discuss why automation may not be the answer you are looking for and why training humans holds a lot of value.
If I were to ask you what technology your business possessed and where it all was right now, could you give me an answer? If not, you’ve demonstrated the importance of keeping an accurate inventory of your business’ IT.
So, let’s go over some best practices to make managing your business’ IT inventory more effective.
We’ve all had to confirm we’re not a computer when attempting to log into an account. This is the core purpose of what once was called CAPTCHA… the Completely Automated Public Turing test to tell Computers and Humans Apart. However, it seems surprising that computers don’t easily overcome these simple-seeming tests.
Let’s dig into why these simple tests actually are effective at differentiating between human users and automated bots.
