What is Natural Language Processing (NLP)?
Natural Language Processing (NLP) is a user interface (UI) advancement that allows business users to query and interact with their data using their own natural language. The system leverages AI to comprehend both verbal and text-based communications, responding with analytics output in matching formats.
Why it matters
A key benefit is that business users need less technical expertise to meaningfully engage with their data—lowering the barrier to analytics and broadening participation in data-driven decision-making.
See how Diwo operationalizes Natural Language Processing.
Read the decision-intelligence playbooks that put this concept to work at Fortune 50 scale.
Related concepts
Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. AI employs sophisticated analysis and logic-based techniques—including machine learning—to interpret events, facilitate and automate decisions, and execute actions. This technology enables machines to understand, respond to, and learn with human-comparable levels of intelligence.
Machine learning represents a data analytics approach that harnesses artificial intelligence to emulate human learning from experience. Rather than depending on preset formulas, machine learning algorithms extract "knowledge" directly from data through computational methods. These algorithms identify inherent patterns within datasets that generate actionable insights and support improved forecasting and decision-making.
Self-service BI is an analytics approach enabling business users to independently access and explore datasets without requiring specialized technical backgrounds in data mining or statistical analysis. The tools empower business analysts, executives, and other non-technical staff to execute queries and develop their own dashboards, reports, and data visualizations.
Decision intelligence is a data-driven process that enables you to rapidly make faster, more accurate fact-based decisions rather than relying on intuition or gut feel. The approach combines decision-making techniques with AI, ML, contextual intelligence, and automation to generate actionable business recommendations. Rather than replacing human judgment, Decision Intelligence augments human ability to make better and more consistent decisions.