When does my company need AI services?

As mentioned earlier, the level of data maturity is a key point for the realization or not of projects focused on Artificial Intelligence. Understand better below which factors are necessary to determine if your company is ready to hire AI services.

Data Quality

 Artificial Intelligence and Data Science as a whole are highly sensitive to data quality. If they are not treated correctly, inconsistent, or incomplete, AI models and analyses resulting from these data will be impaired.

Therefore, it is essential to first have a Data Engineering solution, as it is responsible for collecting, organizing, integrating, storing, and processing data. Thus, AI models will be trained with assertive and reliable data.

Data Availability and Access 

Following the same line of reasoning as the previous point, to train AI models and perform data analyses, it is essential to have access to a wide variety of relevant data.

Also, data-mature companies typically have a robust infrastructure for collecting, storing, and accessing data. Thus, it becomes easier to extract deeper insights and develop more accurate models.

Data Governance 

A data governance structure is essential to ensure that data is managed ethically, securely, and in compliance with regulations and internal policies such as LGPD. And this involves issues such as privacy, security, and regulatory compliance. In this sense, a data-mature company will have established policies and procedures to ensure the protection and proper use of its data.