Data and Business Intelligence Glossary Terms

Neural Network

A Neural Network in the world of business intelligence and data analytics is a computer system designed to work like a human brain. Just as our brains use neurons to process information and make decisions, neural networks use artificial neurons, or ‘nodes’, to process complex data inputs. These networks can learn from vast amounts of data, recognize patterns, and make predictions, which is why they’re a cornerstone of machine learning and artificial intelligence.

Neural Networks are particularly good at tasks that are easy for humans but challenging for traditional computers, like recognizing speech, translating languages, or identifying objects in images. In business, they can be used to forecast sales trends, optimize marketing campaigns, or improve customer service by analyzing feedback for sentiment and intent.

The power of Neural Networks lies in their ability to continuously learn and improve over time as they are exposed to more data. For example, a neural network designed to analyze customer buying habits might become more accurate as it processes more transactions. This adaptive nature makes them invaluable to businesses that want to leverage their data for competitive advantage, driving innovation and enhancing decision-making processes.


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