I
- Identity and Access Management (IAM)
- Incident Response
- Industrial IoT (IIoT)
- Industry 4.0
- Infrastructure as Code (IaC)
- Infrastructure Security
- Innovation Product Design
- Innovation Product Development
- Insider Threat Detection
- Integration Testing
- Intelligent Automation
- Intelligent Process Automation
- Interactive Application Security Testing (IAST)
- Internet of Things (IoT)
- Internet of Things Platform
- Internet of Things Strategy
- Intrusion Detection System (IDS)
- IT/OT Convergence
Natural Language Processing (NLP)
Simple Definition for Beginners:
Natural language processing (NLP) is a field of artificial intelligence that enables computers to understand, interpret, and respond to human language.
Common Use Example:
A customer service chatbot uses NLP to understand and respond to customer inquiries in natural, conversational language, providing quick and accurate assistance.
Technical Definition for Professionals:
Natural language processing (NLP) is a subfield of artificial intelligence (AI) focused on the interaction between computers and human (natural) languages. It involves the development of algorithms and models that enable machines to process, understand, and generate human language in a way that is both meaningful and useful. NLP techniques include text analysis, sentiment analysis, machine translation, speech recognition, and language generation. These techniques rely on various methods such as rule-based modeling, statistical models, machine learning, and deep learning to interpret the structure and meaning of human language. NLP is applied in numerous areas including chatbots, virtual assistants, translation services, and sentiment analysis tools.
Natural Language Processing (NLP)