Machine learning is a branch of artificial intelligence where computers learn from data to improve their performance over time. Instead of being explicitly programmed for every task, these systems use algorithms to analyze data sets, build models, and make predictions or decisions. As they encounter new data, they adapt and refine their understanding, allowing them to handle evolving challenges more effectively.

Machine learning matters because it helps make sense of large and complex data, uncovering patterns that humans might miss and enabling better predictions. This leads to improvements across several areas:

• Smarter decision making
• Increased automation and efficiency
• New avenues for innovation
• Tailored, personalized experiences

Its impact spans many industries—from healthcare and finance to manufacturing, transportation, and retail—shaping how organizations solve problems and deliver value in practical ways.

• Creating Ampere AI Virtual Machines on Microsoft Azure
• Creating Ampere AI Virtual Machines on Google Cloud
• SAS Insights: Machine Learning, What it is and why it matters