To make the most of machine learning you have to train your models right. Here's how to get reliable results from your data.

Machine learning’s impact on technology is significant, but it’s crucial to acknowledge the common issues of insufficient training and testing data.

Optum SVP Sanji Fernando explains how his organization approaches machine learning model training, evaluation, and retraining in this clip from his presentation at Data Summit Connect 2021.

Another element of ML security is the data used to train the machine learning system itself.

How much time is your machine learning team spending on labeling data — and how much of that data is actually improving model performance? Creating effective training data is a challenge that ...

Data science, machine learning and artificial intelligence are key enabling capabilities in today's business world but few executives know how to deploy them effectively.

Protecting privacy and reducing bias in AI models are just two uses for synthetic data, which keeps gaining traction with businesses.

The Big Data Analytics, Artificial Intelligence and Machine Learning research cluster tackles important problems and develops real-life applications, harnessing technologies to extract insights and ...

But as machine learning models grow in number and size, they will require more training data. The AI Impact Series Returns to San Francisco - August 5 The next phase of AI is here - are you ready?