Artificial Intelligence (AI) has evolved beyond a concept and found itself integrated with standard business models. While it’s far from mass adoption, organizations utilize AI and smart learning to help automate certain tasks, streamlining workplace efficiency.
One of those areas falls under the recruitment and application process. As a company, you no doubt receive dozens of applications for a variety of positions. Depending on the market, this could escalate into the hundreds. In high-demand scenarios, the thousands! This, imaginably, is a lot of ground to cover and requires an intense amount of time and energy to search through qualified candidates.
But, as you know, not all candidates meet the standards you need (or exceed them). Or, your business requires more efficient ways to engage potential candidates – without the human...
Both Machine Learning (ML) and Artificial Intelligence (AI) are common computer science terms that often seem to be used interchangeably. Even though these two are related, they are not quite the same and sometimes lead to confusion. Machine Learning and Artificial Intelligence mostly creep up when discussing analytics or Big Data.
Despite Artificial Intelligence and machines being part of our everyday life, we still don't understand them all that well. If you're hoping to integrate one or the other into your business, it is essential that you know their differences. Keep in mind that Artificial Intelligence and Machine Learning are not necessarily suited to perform the same tasks. If you want to take your business to the next level you need to know which to choose and when....