AI concepts Flashcards
What is artificial intelligence (AI)?
AI is the simulation of human intelligence in machines.
What are the three paradigms of AI?
Assisted intelligence, augmented intelligence, and autonomous intelligence.
What is assisted intelligence?
AI systems aiding human decision-making by offering insights and recommendations.
What is augmented intelligence?
AI enhancing human capabilities with advanced tools and technologies.
What is autonomous intelligence?
AI systems operating independently without human intervention.
What are examples of autonomous intelligence?
Self-driving cars and autonomous drones.
Why is AI security important?
To safeguard systems and data from potential threats.
What is intrusion detection in AI security?
Mechanisms that prevent unauthorized access to AI systems and networks.
What are event response strategies?
Rapid detection and mitigation of security incidents using AI monitoring tools.
What is explainable AI (XAI)?
Frameworks enhancing transparency and trust in AI decision-making.
Why is IT asset management important for AI?
To inventory and monitor AI-related assets, ensuring security compliance.
How does AI help in proactive threat identification?
By leveraging anomaly detection and predictive analytics to prevent breaches.
What is security control verification?
Continuous assessment of AI security controls to meet regulatory standards.
What is Microsoft Copilot known for?
Advanced language understanding and code generation for developers.
How does Juniper Networks use AI?
For AI-driven network security and real-time threat detection.
What AI-powered features does Google Gemini offer?
Smart Compose and email prioritization for intelligent email management.
What AI services does Microsoft Azure provide?
Machine learning, computer vision, NLP, generative AI, and knowledge mining.
What are common machine learning (ML) use cases?
Customer churn prediction, fraud detection, and predictive modeling.
What is computer vision in AI?
AI-powered image recognition and analysis.
What tasks does computer vision enable?
Object detection, facial recognition, and content moderation.
What is natural language processing (NLP)?
AI enabling applications to understand and interpret human language.
What are examples of NLP applications?
Sentiment analysis, entity recognition, and language translation.
What is generative AI?
AI creating synthetic content like images, text, and music.
What is knowledge mining?
Extracting insights from unstructured data sources like documents and images.
What are document intelligence services?
Automated document analysis, extraction, and classification.
How does Azure AI accelerate AI-powered application development?
By offering pre-built, customizable APIs for vision, language, speech, and decision making.
How do developers integrate AI into applications with Azure?
Using client libraries and REST APIs.
What is continuous integration and deployment (CI/CD)?
Automating testing, building, and deployment of AI models.
Why are on-premises containers useful in AI?
They offer flexibility for hybrid or private cloud AI deployments.
What does Azure’s scalable infrastructure enable?
Efficient training and fine-tuning of ML models using distributed computing and GPU acceleration.
