Mastering machine learning (ML) isn't easy.

For small and medium-sized businesses, it takes considerable time to grasp this branch of artificial intelligence and even more to use it effectively in solving business problems. Lack of proper infrastructure to run ML models, inability to pick the right algorithm, and data science talent shortage are a few of the reasons for this.

Trying to overcome these obstacles, one by one, may not be a cost-effective approach for small and medium-sized businesses.

Enter low-code and no-code machine learning platforms.