Quality data is at the heart of the success of enterprise artificial intelligence (AI). And accordingly, it remains the main source of challenges for companies that want to apply machine learning ...

Without clean, curated, and compliant data, even the most ambitious AI and machine learning (ML) initiatives will falter. Today, enterprises are moving quickly to integrate AI into their operations.

This week, Microsoft Research announced its newest deep learning project had outperformed humans in a test to identify objects in digital images.

‘Small Data’ Are Also Crucial for Machine Learning The most promising AI approach you’ve never heard of doesn’t need to go big By Husanjot Chahal & Helen Toner Olemedia Getty Images ...

AI and ML projects will fail without good data because data is the foundation that enables these technologies to learn. Data strategies and AI and ML strategies are intertwined.