With all the recent talk about artificial intelligence, machine learning and robots taking over the world, the terminology can be a bit overwhelming. There is a lot of misinformation on these topics and unless you have a PhD in Computer Science, it can be difficult to separate fact from fiction. You’re probably wondering what artificial intelligence (AI) is on a practical level and how it will impact you and possibly your career. So let’s set the record straight on what exactly AI is (and isn’t).
Simply stated, artificial intelligence is the ability for computers to perform tasks as well, if not better, than humans. AI can be applied to any scenario where machines can be “trained” to perform specific tasks, much the way a human would, by the bot training itself or by humans teaching it.
Artificial intelligence relies heavily on machine learning algorithms to create the cognitive capabilities needed to think like a human. Predictions have existed for years about what AI would look like – all with dubious degrees of accuracy. The visions of a world subservient to robots, as depicted in science fiction movies, are more reflections of Hollywood’s creativity than actual reality. Although machines don’t quite live up to the Hollywood depiction, there are many useful applications for artificial intelligence in today’s world.
In order to help business professionals understand those applications, we created A Primer to Artificial Intelligence for Business. The primer highlights topics such as where AI is today, which industries gain the most benefit from AI and where it’s headed in the future. If you’ve struggled to understand the difference between neural networks, deep learning and support vector machines, this primer is for you.
Novices in the field of artificial intelligence often confuse the difference between machine learning and deep learning. To help make that distinction, we provided a basic summary of the differences between the two types of learning:
Machine learning – The ability for computers to improve functionality based on a variety of algorithms including pattern and text recognition. Over time, as it has more reference data, the machine learns to become more efficient.
Deep learning – A broader version of machine learning, deep learning is the ability for a computer to process various pieces of information the way a human would to make informed decisions and judgements. Deep learning uses neural networks to prioritize data by assigning a numerical value to each data point or using true/false logic analysis.
For more information on the basics to artificial intelligence, download our primer by clicking the link below.