The data lakehouse architecture is leading this change—particularly for machine learning (ML) and advanced analytics—by combining the strengths of both data lakes and data warehouses.

Applying machine learning to genome-wide association and electronic health record data may usher in a new era of precision in ...

Unstructured data — information that doesn’t follow conventional models or fit into structured database formats — represents more than 80% of all new enterprise data.

This helps to protect patient privacy and security and can increase patient trust in the technology. More transparency and trust: Federated learning enables data "custodians" to maintain control over ...

Machine Learning in Marketing: Machine learning analyzes client data to provide targeted marketing efforts. It anticipates consumer behavior to improve conversion rates and engagement.

Machine learning is one type of AI that uses complex algorithms to process huge amounts of data quickly. Then, the machine uses this data to make predictions, gather insights and learn.

Sparse data can impact the effectiveness of machine learning models. As students and experts alike experiment with diverse datasets, sparse data poses a challenge. The Leeds Master’s in Business ...

Summary CORNETO is a new computational tool that helps researchers combine different types of biological data with prior biological knowledge to map how molecules like genes and proteins interact ...