The differences between data analytics, machine learning and AI
We are living in a time of rapid technological advancement. Computing power has been increasing exponentially, meaning that we can harness this processing power for ever more complex tasks. Three fields that have emerged alongside this rapid growth are data analytics, machine learning and AI. But what’s the difference between these three closely linked technologies?
As well as taking a look at how these topics overlap, we’ll also explore what makes them unique. We’ll examine the main differences between each topic, as well as some of the careers they can lead to and the skills required for each one.
What is data analytics?
Let’s begin by looking at what each term means, starting with a data analytics definition. At its heart, data analytics is the science of analysing data sets to find trends, answer questions, and draw conclusions. It’s a varied and complex field that often relies on specialist software, algorithms and automation.
The principles of data analytics can be applied across just about any industry. Organisations of all kinds employ data analysts to help them make informed and data-driven decisions about different areas of their businesses. Usually, existing data from past events are analysed, meaning existing trends can be identified.
There are several different types of data analytics, including descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics.
Data science vs data analytics
These two terms are sometimes, incorrectly, used interchangeably. Data analytics focuses on the examination of data sets to identify and explain trends. Data science looks more at the processes for data modelling and production, creating algorithms and predictive models.
There is some interchange between the two disciplines, however. The meaning of data science relates to a wider field that focuses on discovering large sets of data. Within that scope is data analytics, a more focused area that looks at the insights offered by examining existing information.
What is artificial intelligence?
Artificial intelligence (or AI) is a concept that’s been around for a while. However, it’s only in recent years that we’ve truly had the processing power to actually make it a reality. In its simplest terms, AI is the ability to give computers the ability to replicate human intelligence.
By creating computers that are capable of learning, it’s possible to teach them from experience. Such artificial intelligence systems have three qualities; intentionality, intelligence, and adaptability. These qualities give them the ability to make decisions that traditionally require a human level of experience and expertise.
What is machine learning?
We’ve already covered machine learning in more detail in a separate article. This field is a subset of artificial intelligence whereby computers are programmed to learn automatically. These computers seo packagesact in a similar way to humans, improving their learning as they encounter additional data.
Much of the SEO companies focus of machine learning is to create programs and software that can learn to make predictions and decisions without being directly programmed to do so. The technology can be used for all kinds of purposes, from powering search engines to diagnosing medical conditions.