Understanding the Difference: Artificial Intelligence vs. Machine Learning

By Kelly Blankenship

In the world of technology, "artificial intelligence" (AI) and "machine learning" (ML) are often used interchangeably, but they have distinct meanings. AI refers to the capability of a computer system to mimic human cognitive functions like learning and problem-solving. In contrast, ML is a subset of AI that involves the use of mathematical models to allow computers to learn from data without explicit programming.

How They Work Together

AI systems are typically built using ML techniques. Through analyzing data patterns, data scientists create and refine machine learning models, enhancing their accuracy over time. This synergy enables powerful capabilities such as predictive analytics, recommendation engines, and natural language processing.

Applications Across Industries

AI and ML are transforming various sectors, including but not limited to:

• Retail:
  Enhancing customer experiences and optimizing inventories.
  
  
• Healthcare:
  Improving diagnostic accuracy and predictive analytics.

• Finance:
  Detecting fraud and assessing risks.

• Manufacturing:
  Streamlining operations with predictive maintenance.
  

Sign Up for our Newsletter for more!