AI
This AI technique involves machines learning from data, adapting their performance without explicit programming.
Machine Learning
This type of AI specializes in creating new and original content, from text to images, by learning from existing data.
Generative AI
This term represents the massive volume of data that businesses analyze for insights, beyond the capacity of traditional software.
Big Data
This principle demands AI systems to be designed with fairness, ensuring decisions do not reflect bias or discrimination.
Fairness in A
Name the AI domain focused on creating systems that can interpret, generate, and understand human language.
Natural Language Processing (NLP)
Generative AI has significantly impacted this field, creating realistic images and artworks from textual descriptions.
Computer Vision
Big Data's ability to process vast amounts of information in real-time is crucial for this predictive business function.
Real-time Analytics
In Responsible AI, this concept ensures that AI's decision-making processes are transparent and can be understood by users.
Explainability
This form of AI enables systems to learn and improve from experience without being explicitly programmed, particularly in game-playing scenarios.
Reinforcement Learning
This Generative AI system is known for its ability to produce human-like text, revolutionizing content generation and interaction.
GPT (Generative Pre-trained Transformer)
This distributed processing system is pivotal for handling large data sets across computer clusters, foundational in Big Data analysis.
Hadoop
The practice of ensuring that AI technologies do not infringe on privacy rights or misuse personal data falls under this Responsible AI principle.
Privacy in AI
This AI algorithm is designed to recognize patterns by simulating the way a human brain works and is foundational in deep learning.
Neural network
n product design, this Generative AI application accelerates the development process by proposing numerous iterations and alternatives.
Generative Design
Big Data analytics plays a crucial role in this business area, using consumer data to predict future buying behaviors and inform strategy.
Market Prediction
Discussing the impact of AI on society, this term refers to the study of ethical issues emerging from the development and application of AI.
AI Ethics
This advanced AI concept involves machines performing any intellectual task that a human being can do, a significant step beyond narrow AI.
Artificial General Intelligence (AGI)
This term refers to the AI's ability to generate synthetic data, a key feature of Generative AI, which is useful for training models when real data is scarce.
Data Augmentation
This is a distributed processing framework that simplifies big data analytics, allowing for complex data transformations and analyses with its in-memory processing capabilities.
Apache Spark
This concept in Responsible AI emphasizes the collaborative interaction between humans and AI systems, ensuring that AI augments rather than replaces human capabilities.
Human-Centered AI