- AI Software
- C3 AI Applications
![]()
- C3 AI Applications Overview
- C3 AI Anti-Money Laundering
- C3 AI Cash Management
- C3 AI Contested Logistics
- C3 AI CRM
- C3 AI Decision Advantage
- C3 AI Demand Forecasting
- C3 AI Energy Management
- C3 AI ESG
- C3 AI Intelligence Analysis
- C3 AI Inventory Optimization
- C3 AI Process Optimization
- C3 AI Production Schedule Optimization
- C3 AI Property Appraisal
- C3 AI Readiness
- C3 AI Reliability
- C3 AI Smart Lending
- C3 AI Sourcing Optimization
- C3 AI Supply Network Risk
- C3 AI Turnaround Optimization
- C3 Law Enforcement
- C3 AI Platform
![]()
- C3 Generative AI
![]()
- Get Started with a C3 AI Pilot
- Industries
- Customers
- Events
- Resources
- Generative AI for Business
- Generative AI for Business
- C3 Generative AI: How Is It Unique?
- Reimagining the Enterprise with AI
- What To Consider When Using Generative AI
- Why Generative AI Is ‘Like the Internet Circa 1996’
- Can Generative AI’s Hallucination Problem be Overcome?
- Transforming Healthcare Operations with Generative AI
- Data Avalanche to Strategic Advantage: Generative AI in Supply Chains
- Supply Chains for a Dangerous World: ‘Flexible, Resilient, Powered by AI’
- LLMs Pose Major Security Risks, Serving As ‘Attack Vectors’
- What is Enterprise AI?
- Machine Learning
- Introduction
- What is Machine Learning?
- Tuning a Machine Learning Model
- Evaluating Model Performance
- Runtimes and Compute Requirements
- Selecting the Right AI/ML Problems
- Best Practices in Prototyping
- Best Practices in Ongoing Operations
- Building a Strong Team
- About the Author
- References
- Download eBook
- All Resources
- C3 AI Live
- Publications
- Customer Viewpoints
- Blog
- Glossary
- Developer Portal
- Generative AI for Business
- News
- Company
- Contact Us
Glossary
- Artificial Intelligence
- AI in Finance
- AI in Manufacturing
- Anomaly Detection
- Anti-Money Laundering
- Asset Performance Management
- Asset Reliability
- Digital Disruption
- Digital Transformation
- Digital Twin
- Elastic Cloud Computing
- Energy Management
- Enterprise AI
- Enterprise AI Platform
- Ethical AI
- Inventory Planning
- IoT Platform
- Know Your Customer (KYC)
- Machine Vision (Computer Vision)
- Model-Driven Architecture
- Multi-Cloud
- No Code
- Predictive Analytics
- Predictive Maintenance
- Process Optimization
- Stochastic Optimization
- Type System
- Data Unification & Management
- Machine Learning (A to L)
- Artificial General Intelligence
- Bias
- Canonical Schema
- Canonical Transform
- Classification
- Classifier
- Classifier Performance
- Clustering
- Coefficient of Discrimination, R-Squared (R2)
- Convolutional Neural Network (CNN)
- Correlation
- Data Cleansing
- Data Labels
- Data Lineage
- Deep Learning
- Dimensionality Reduction
- Explainable AI
- F1 Score
- False Positive Rate
- Feature Engineering
- Feedback Loop
- Field Validation
- Gaussian Mixture Model (GMM)
- Generalized Linear Models
- Gradient-Boosted Decision Trees (GBDT)
- Features
- Ground Truth
- Holdout Data
- Hyperparameters
- Information Leakage
- LIME: Local Interpretable Model-Agnostic Explanations
- Linear Regression
- Loss Function
- Low-Dimensional Representation
- Machine Learning (M to Z)
- Mean Absolute Error
- Mean Absolute Percent Error
- Machine Learning Pipeline
- Model Drift
- Model Prototyping
- Model Training
- Model Validation
- Normalization
- Overfitting
- Precision
- Problem Tractability
- Random Forest
- Recall
- Receiver Operating Characteristic (ROC) Curve
- Regression Performance
- Regularization
- Reinforcement Learning
- Reporting Bias
- Ridge Regression
- Root Mean Square Error (RMSE)
- Selection Bias
- Shapley Values
- Supervised Machine Learning
- Tree-Based Models
- Underfitting
- Unsupervised Machine Learning
- XGBoost
