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Our company is interested in implementing machine learning, but we’re not sure where to begin. Should we start with data analysis, hire specialists, or work with an external team?

Before starting a machine learning project, companies usually analyze the data they already have and define the business objective they want to solve. Without this step it’s easy to build models that look impressive but don’t actually solve real problems. Many organizations begin by researching a machine learning solution and exploring practical implementation examples. I once came across https://data-science-ua.com/ml-development-company/ which explains how businesses typically approach early ML experiments and pilot projects.