S
- Sandbox Environments
- Secure Coding Practices
- Security Automation
- Security Awareness Training
- Security Champions
- Security Information and Event Management (SIEM)
- Security Orchestration
- Security Posture
- Shift-Left Security
- Smart City
- Smart Home
- Smart Manufacturing
- Smart Meters
- Smart Products
- Smart Spaces
- Software as a Service (SaaS)
- Software Composition Analysis (SCA)
- Software Defined Networking (SDN)
- Software Development Life Cycle (SDLC)
- Static Application Security Testing (SAST)
- Structured Data
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