Glossary

AI Abstraction involves simplifying complex elements by focusing on the key features, mimicking human cognition, and enabling efficient problem-solving and learning in machines.

Data fusion is the process of amalgamating diverse data sources, amplifying decision-making precision and dependability. It acts as a critical tool in comprehensive data analysis and management.

Data Integration is the key process of merging diverse datasets from multiple sources, ensuring accurate and up-to-date information for optimized AI and ML applications.

Data Labeling in Machine Learning involves marking up raw dataset with relevant tags or labels, enabling algorithms to learn from these inputs. This method is crucial for predictive modeling and pattern recognition.

The Data Flywheel is a data science concept referring to the cycle of leveraging data to boost performance, thus producing more valuable data in a self-sustaining process.

The Nvidia A100 is an innovative graphics processing unit (GPU), specifically engineered for enhanced data center and high-performance computing operations.