Machine learning (ML) is the process of using mathematical models of data to help a computer learn without direct instruction. It is considered a subset of artificial intelligence (AI). Machine learning uses algorithms to identify patterns within data, and those patterns are then used to create a data model that can make predictions. With increased data and experience,
the results of machine learning are more accurate much like how humans improve with more practice.
Benefits of Machine Learning
Uncover insight - Machine learning can help identify a pattern or structure within both structured and unstructured data, helping to identify the story the data is telling.
Enhance user experience - Adaptive interfaces, targeted content, chatbots, and voice-enabled virtual assistants are all examples of how machine learning can help optimize the customer experience.
Improve data integrity - Machine learning is excellent at data mining and can take it a step further, improving its abilities over time.
Reduce risk - As fraud tactics constantly change, machine learning keeps pace—monitoring and identifying new patterns to catch attempts before they are successful.
Anticipate customer behavior - Machine learning can mine customer-related data to help identify patterns and behaviors, letting you optimize product recommendations and provide the best customer experience possible.
Lower costs - One machine learning application is process automation, which can free up time and resources, allowing your team to focus on what matters most.
