Implementing a machine learning project in organizations is often a complex and challenging endeavor. Statistics reveal that a staggering 87% of data science projects never make it into production. The journey from concept to deployment demands not only technical expertise but also strategic foresight and robust project management.

Machine learning is like giving computers a sense of intuition, allowing them to sift through mountains of data to find the gold nuggets of insight we need. This technology is pivotal because it streamlines decision-making, enhances predictive power, and fuels innovation across countless domains.

Machine learning (ML) is quickly becoming a mainstay in the enterprise world, but entrepreneurs and small-business owners often hesitate to invest in it partly because they think it’s too complex. But there are ways small business owners can begin to leverage ML without pouring in large sums of money.