TAMPA, Fla.--(BUSINESS WIRE)--Revolent has teamed up with Snowflake to equip joint customers and partners across the globe with business-ready specialists to help them get the most out of Snowflake ...

Massive training datasets are the gateway to powerful AI models — but often, also those models’ downfall. Biases emerge from prejudicial patterns concealed in large datasets, like pictures of mostly ...

Silent schema drift is a common source of failure. When fields change meaning without traceability, explanations become ...

Machine learning (ML) is a subset of artificial intelligence (AI) that involves using algorithms and statistical models to enable computer systems to learn from data and improve performance on a ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Prevent AI-generated tech debt with Skeleton ...

Over the years, the field of data engineering has seen significant changes and paradigm shifts driven by the phenomenal growth of data and by major technological advances such as cloud computing, data ...

In a world where data is the key to business success, data engineers are the architects of transformation. Harsha Kamma is one such architect, driving groundbreaking change in how companies handle ...

The goal of engineering analysis is to use models of the real world to simulate and predict the performance of a design with confidence, explore design modifications, and inform downstream ...

Innodata shares jump on Thursday after the company said Palantir selected it to provide training data and data engineering ...

AI models like OpenAI’s ChatGPT and Google’s Gemini have run out of training data, according to Goldman Sachs’ data chief. Neema Raphael, who serves as the banking giant’s chief data officer and head ...