How to apply Machine Learning to your business?

Machine learning is still driving improvements to product features, and has played a vital role in improving user experience over the years. However, what we are seeing is only the surface of what machine learning (ML), or more specifically, artificial intelligence (AI) can do.

Being able to understand what machine learning is and how to best apply it is extremely important for businesses.

It sounds complicated, but machine learning is basically a branch of artificial intelligence, where computers use algorithms to “learn” from data and make better guesses. By taking advantage of large amounts of data, the machine can learn itself through sample analysis and use the learned knowledge to improve algorithms. This technique has been around for decades, but only recently have we been able to put it into practice. Now that artificial intelligence has become extremely popular, machine learning is slowly becoming a more affordable technology, even for small businesses.

The following are ways to improve self-learning machine learning products:

Take advantage of data

Computers never lack data – from user data, search trends, to product analysis – you can use machine learning on huge amounts of data. Machine learning is a specific method, which uses large amounts of data to be able to analyze difficult problems without the need to use formulas or equations. Utilizing data resources for machine learning applications is a process that involves providing data, analyzing and then sorting data into groups to train and improve the computer model you own. . Some companies hire data analysts to support more complex processes, but you can also find plenty of basic online documentation to prepare data for apply machine learning.

Technology tools for machine learning are more popular than ever

Machine learning models have existed for a long time, but only recently have computers been able to process the collected data. Now that machine learning has become so popular and reasonably priced, businesses can easily access artificial intelligence applications. Open source tools such as TensorFlow and Keras have allowed companies to integrate machine learning technology with existing platforms or software.

Moreover, these are not merely the characteristics of artificial intelligence products. Machine learning technology can also enhance internal efficiency by providing high data security, enhancing the ability to select the target audience of advertising campaigns, as well as providing quality customer service. When I was working on a startup project in Seattle, we used OpenCV and a supervised machine learning system to make predictions about live esports matches. Thanks to the efficiency of machine learning technology in the development stage, within a few months, from an idea, the project was quickly put into practice.

Invest now in the latest machine learning technologies

A deeper level of “learning”, using more sophisticated artificial intelligence, is the next improvement in machine learning. Although this technology is currently the most advanced technology, you can still challenge with new technology, thereby taking your business to a new level. One advantage of machine learning models is that it not only takes advantage of the data, but also goes into the structure of that data. The more the computer is experimenting and learning from its failures and successes, the more accurate the model will become.

In the past, machine learning was only used by tech giants like Google and Amazon, but now many other industries can take advantage of it. The automotive and financial services industries will see the greatest benefit, as machine learning offers more efficient data analysis, more accurate prediction, and more optimal production.

Investing in machine learning from now on will give your business the momentum to build a solid technological premise, from which multi-functional models can be used for a variety of industries, from education, services, retail, to technology.

Productivity and Quality Office