As businesses wrestle with ever-greater volumes of data, both generated within their organizations and collected from external sources, finding efficient ways to analyze and "operationalize" all that data for competitive advantage is increasingly challenging. The global machine learning market alone reached $15.44 billion in 2021, will reach $21.17 billion this year and is expected to grow to $209.91 billion by 2029 for a CAGR of 38.8 percent, according to a Fortune Business Insights report. The global market for data science platforms, meanwhile, was valued at $4.7 billion in 2020 and is projected to reach $79.7 billion by 2030, a CAGR of 33.6 percent, according to an Allied Market Research report. "Data science" and "machine learning" are sometimes confused and even used interchangeably. They are two different things, but they are related in that data science practices are key to machine learning projects.