Machine Learning in companies: what it is and how to apply it

It is evident that technology has become essential to leverage companies' businesses. 

Machine Learning has become highlighted as one of the most promising resources for the coming years. But, what is it and how to apply Machine Learning in companies?

An important arm of Artificial Intelligence and increasingly present today, is Machine Learning, a set of computational techniques that aim to use structured or unstructured data for the development of algorithms that can learn patterns independently. 

It is an aspect of technology that allows computers to learn to make decisions on their own. This tool can detect patterns that were not noticed by humans and thus propose solutions not thought of before.

In this context, any company can apply machine learning, from small and medium to large companies. For this, it is necessary to have a solid database of problems to be solved. In this scenario, the professional who will have a primary role in the application of Machine Learning in companies emerges: the data scientist. This specialist will analyze the entire problem and outline the best way to solve the challenge.

When talking about customer experience, for example, Machine Learning can be applied to automated service agents as a solution to answer customer queries through natural language processing. Thus, technology provides users with quality answers to calls and promotes a more agile and assertive service.

Thus, Machine Learning techniques allow the increase of productivity of several processes in a company, since it is a widely used concept to automate processes, making them faster and, consequently, more practical and efficient. Thus, Machine Learning contributes to the reduction of human errors and cost reduction for companies in the long run.

The multiple applications of Manchine Learning in companies

Despite appearing complex, this technology is already a reality and is extremely present in our daily lives. Text translators, for example, have Machine Learning present in their routine. This is because, in order to make the work viable, a software needs to address several issues related to the language, both in terms of spelling and regional expressions. Another example is online shopping sites and geolocation apps, as well as other technologies such as facial recognition and social networks themselves.

There are some challenges that must be taken into account when applying Machine Learning in companies. Among them, we can mention the development of databases that meet the algorithms, in addition to the importance of understanding the concepts and techniques by the company's managers. There is also an important need to find qualified specialists and thus avoid possible gaps during the application of the resource.

With an in-depth study of Machine Learning and an adequate application in the processes, many areas of the company can be positively impacted. Regardless of the field or type of company, Machine Learning can optimize the entire productivity present in the employee chain. In the end, the results will be collected, both by the institution and by the client.

Amancio Quality Consulting - Brazilian consultancy enterprise for Systems Management and Process Improvement