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Artificial intelligence and machine learning models are extraordinarily expensive to develop and operate, and data engineers, AI/ML ...

Machine learning (ML) models require large datasets to train, but focusing on quantity over quality can have severely negative effects on a ...

We like to think of machines as being completely impartial, but the reality is that they’re typically as biased as the people programming ...

Artificial intelligence and machine learning technologies continue to drive value for companies both within and outside of the tech industry. ...

Shortly before the Holidays, Rahul Ponnala, Granica’s CEO, invited me to deliver a talk as part of Granica's tech talk series. This article ...

Over the past decade, cloud-based data lakes and data lake storage, particularly on Amazon S3, have become the foundation for storing and ...

Data safety and security should be paramount for all organizations developing or using artificial intelligence. Recent research reveals that ...

This post is part of a series of posts on our bias and toxicity detection feature in Granica Screen - see Part 1 here for more background on ...

Training and fine-tuning machine learning algorithms require vast quantities of data; however, not all data is good data. Thoroughly ...