Quick Executive Level Understanding of Artificial Intelligence, Machine Learning and Deep Learning
Organizations need Artificial Intelligence, Machine Learning and Deep Learning now more than ever. This is because the data analysis offered by the new technologies enabled companies to get invaluable insights into their customers. Nowadays, the majority of companies, if not all of them, use some kind of artificial intelligence system to analyze the metrics and produce the appropriate ads. Nevertheless, there are many different systems out there to choose from. Consulting an AI expert will give you an idea of what artificial intelligence, machine learning, and deep learning are.
In this article, we are taking a look at these three terms and what is their difference, so as to add more clarity for the executives.
What Artificial Intelligence is
Artificial intelligence is a broad term that includes the other two terms, machine learning, and deep learning. In essence, these are machines that use algorithms designed to mimic the human mind. In more detail, those machines have the ability to learn new things on their own, or with the assistance of an AI expert. When they are well-trained, they can perform those cognitive tasks much faster and accurately than humans do.
Nowadays, artificial intelligence is used in many different fields. Namely, it analyzes text, images, and audio, as well as it can sense environmental data. This analytical ability has made artificial intelligence extremely useful to marketing, where every detail matters for the success of the marketing campaign. Therefore, as a marketer, you should know that your artificial intelligence system might not just be a machine learning algorithm.
What Machine Learning is
Machine learning is a specific application of artificial intelligence. This algorithm is specifically designed to accept data, train itself from them to perform certain tasks, and then make calculations based on those data. In systems like that, the experience is key. Because machine learning systems use data as their training, at first their results might not be that accurate. With the passing of time though and the continuous processing of data, they can perform those calculation with high accuracy. Those systems don’t require a human to operate them, even though an AI expert is essential in order to manage the data.
Due to its nature, you will find many machine learning systems applied in the marketing industry. Marketing uses a number of metrics, like click-through rates, engagement rates, and bounce rates, in order to evaluate the strategies used. A machine learning algorithm can handle those data, along with historical data, and so give useful insights.
What Deep Learning is
Deep learning is a specific application of machine learning and so they work in a similar way. The main difference is that deep learning systems try to imitate the way the human brain processes data and makes decisions. This way, the algorithm will try to find patterns in the data it receives and then try to classify them according to its knowledge.
These are the three basic systems that as a marketer you might need to improve your work. With this information in mind, you can finally have a clear understanding of your vendor.