Machine learning trends affecting small businesses

Near Learn
3 min readAug 24, 2022

The IT industry witnesses innovations every day. Machine learning, being a part of it, evolves every day. So to make the most of it in 2022, one must know the trends in machine learning.

Take a look at the following machine learning trends that could prove to be highly beneficial for small businesses in 2022:

no-code machine learning
As the name suggests, no-code machine learning means you don’t have to write code to achieve your goals. However, coding plays an important role in machine learning at some level or the other.

Since writing code is not mandatory for no-code machine learning, it saves a lot of time while developing machine learning applications. Therefore, businesses may need to invest in developing machine learning applications for themselves in order to think of strategies to maximize ROI.

Some examples of no-code machine learning are BigML, Google Cloud AutoML, DataRobot etc.

Machine learning, in simple words, is a way that a computer learns to make better decisions. They do this by using the data provided to them and through certain algorithms. One of the amazing things about machine learning is that it is very similar to the way humans learn. Also, we do not program computers to learn; It does it by itself.

Read More : A Roadmap To Become A Data Scientist At A Big Tech Company!

For example, let’s consider the game of chess. Suppose you play a match on a computer and you win. The computer analyzes each move made on the board and it becomes difficult for the person to win the next game. That is because of machine learning. We only need to program the basic chess moves. Later, computers evolved like humans, to learn and improve themselves at games. Some other examples include chatbots, self-driving cars, etc.

Small businesses can derive countless benefits from machine learning. However, the owners of these businesses usually neglect those benefits. The most common reason is that they think machine learning will cost them more than the benefits they get.

Here are some of the ways machine learning is beneficial to small businesses:

business insight
Machine learning can help small business owners with an overview of their enterprises. For example, it can help them detect a pattern in the profits made during a given session. They can also find out the time frame in which their profit is maximum. Therefore, machine learning helps business owners understand the areas in which they can work to maximize their business prospects.

How does Machine Learning help small businesses?
Every business owners need to assess market conditions and trends. One way to do this is by analyzing large amounts of data about the market. However, doing the work yourself can be troublesome and may not always produce accurate results. Machine learning proves to be a viable solution to the problem, thanks to its innate ability to analyze and process data.

Ad Fraud Solution
Every business — be it big or small — needs a good marketing strategy to establish its name in the market. Currently, digital marketing is one of the most accepted and widely implemented marketing strategies. However, digital marketing has one major drawback — advertising fraud. A report shows that in 2021 almost two-thirds of marketers got into marketing fraud.

The solution to effective marketing lies in machine learning. Studies indicate that machine learning can reduce the money spent on combating ad fraud by about $10 billion. Therefore, machine learning is a sustainable marketing option for small businesses.

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