Unite.AI

OCTOBER 30, 2023

Improves quality: The effectiveness of AI is significantly influenced by the quality of the data it processes. Training AI models with subpar data can lead to biased responses and undesirable outcomes. Improving AI quality: AI system effectiveness hinges on data quality.

DevOps 310

DevOps Software Development Automation Artificial Intelligence 310

Pickl AI

JUNE 23, 2023

The Importance of Data-Centric Architecture Data-centric architecture is an approach that places data at the core of AI systems. At the same time, it emphasizes the collection, storage, and processing of high-quality data to drive accurate and reliable AI models. How Does Data-Centric AI Work?

Continuous Learning 52

Continuous Learning Data Quality AI AI 52

Snorkel AI

OCTOBER 4, 2023

Supercharge predictive modeling. 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. Expand data points to paint a broader financial picture.

AI 64

AI AI Data Scientist Neural Network 64

Snorkel AI

OCTOBER 4, 2023

Supercharge predictive modeling. 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. Expand data points to paint a broader financial picture.

AI 59

AI AI Data Scientist Neural Network 59