D
- Data Analytics
- Data Loss Prevention
- Data Migration
- Data Platform
- Data Privacy
- Data Science
- Data Transformation
- Deep Learning
- Definition of Protocol Analysis | OrangeMantra
- Denial of Service (DoS)
- Dependency Scanning
- DevOps
- DevSecOps Pipeline
- Digital Engineering
- Digital Forensics
- Digital Transformation
- Disaster Recovery
- Distributed Version Control System (DVCS)
- Dynamic Application Security Testing (DAST)
AI Analytics
Simple Definition for Beginners:
AI analytics is the use of smart computer programs to look at large amounts of data quickly and accurately, helping businesses understand trends and make better decisions.
Common Use Example:
A business can use customer data such as past purchases, browsing history, and preferences to train their AI model. Based on the data, AI will learn customers’ shopping patterns and can even go one step further by predicting the future change in buying behavior or their response to upcoming products.
Technical Definition for Professionals:
AI analytics refers to the application of artificial intelligence techniques and algorithms to analyze data. It involves the use of machine learning, natural language processing, and other AI technologies to automate data analysis, identify patterns, generate insights, and make predictions.
AI analytics combines data processing and AI to extract meaningful insights from data. By automating the analysis process, AI analytics can handle complex datasets and provide actionable insights that help businesses make informed decisions.
AI Analytics