AI analytics uses Artificial intelligence (AI) tools when evaluating and unifying data patterns to predict customer behaviors and make accurate business decisions. Data analysts spend 80% of their time cleaning, organizing data, and AI analytics saves them time. Analyzing data traditionally is time-consuming, but AI can crunch data much faster because it is automated and tests many different combinations. Data scientists can answer questions more efficiently about data and provide solutions for organizations based on AI-powered findings.
Machine learning (ML), a subset of AI, and works with AI analytics. ML algorithms recognize data characteristics and patterns to identify issues in real-time. Once data is processed, ML develops a set of rules and models for the data. ML often works with Natural Language Processing (NLP) to study a human language, which organizations can use to build translation, spell check, and other language applications.
Organizations are getting on board with AI for data management because of these key benefits: