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)
Intelligent Automation
Simple Definition for Beginners:
Intelligent automation refers to the use of advanced technologies like artificial intelligence and machine learning to automate processes, improve efficiency, and make data-driven decisions.
Common Use Example:
A company implements intelligent automation in its customer support system, using AI chatbots to handle routine inquiries, analyze customer data, and provide personalized responses, thereby reducing response times and improving customer satisfaction.
Technical Definition for Professionals:
Intelligent automation combines artificial intelligence (AI), machine learning (ML), robotic process automation (RPA), and data analytics to automate tasks, workflows, and decision-making processes intelligently. It involves using algorithms, cognitive technologies, natural language processing (NLP), and predictive analytics to analyze data, learn patterns, make predictions, and take actions without human intervention. Intelligent automation systems can handle complex tasks, adapt to changing conditions, optimize processes, and generate insights, driving operational efficiency, cost savings, and business agility.
Intelligent Automation