Unite.AI

OCTOBER 30, 2023

Training AI models with subpar data can lead to biased responses and undesirable outcomes. When unstructured data surfaces during AI development, the DevOps process plays a crucial role in data cleansing, ultimately enhancing the overall model quality. Poor data can distort AI responses.

DevOps 310

DevOps Software Development Automation Artificial Intelligence 310

Pickl AI

JUNE 23, 2023

These models learn from the patterns and relationships present in the data to make predictions, classify objects, or perform other desired tasks. Continuous Learning and Iteration Data-centric AI systems often incorporate mechanisms for continuous learning and adaptation.

Continuous Learning 52

Continuous Learning Data Quality AI AI 52

Snorkel AI

OCTOBER 4, 2023

Lenders and credit bureaus can build AI models that uncover patterns from historical data and then apply those patterns to new data in order to predict future behavior. Instead of the rule-based decision-making of traditional credit scoring, AI can continually learn and adapt, improving accuracy and efficiency.

AI 64

AI AI Data Scientist Neural Network 64

Snorkel AI

OCTOBER 4, 2023

Lenders and credit bureaus can build AI models that uncover patterns from historical data and then apply those patterns to new data in order to predict future behavior. Instead of the rule-based decision-making of traditional credit scoring, AI can continually learn and adapt, improving accuracy and efficiency.

AI 59

AI AI Data Scientist Neural Network 59