Data

AI fundamentals

Data is the raw material of artificial intelligence: texts, images, audio, measurements or business records. Its quality directly conditions the model's: incomplete, biased or poorly structured data produces unreliable results, hence the importance of collection, cleaning and governance work.

In practice at Gensai

Every Gensai project starts with an inventory of the available data: sources, quality, usage rights and sensitivity.

Same theme

Artificial intelligence (AI)Algorithm Dataset Model (AI)Machine learning Deep learning Neural network Supervised learning Unsupervised learning Reinforcement learning Classification Regression Prediction Training Inference Parameters Hyperparameters Bias (AI)