A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after ...

Data architects visualize and design an organization's enterprise data management framework, aligned with enterprise strategy and business architecture.

Data architecture, however, spans the organization and takes a high-level, holistic view, whereas data modeling focuses on specific systems or business cases. In any case, the architecture or ...

Data architecture translates business needs into data and system requirements, and seeks to manage data and its flow through the enterprise.

What is data modeling, and why does it break down? Fundamentally, data modeling involves arranging data in a structured way to improve accessibility and use for a range of applications and analyses.

Discover why modern data architectures are essential for leveraging AI and big data. From scalability and real-time analytics to improved security and cost efficiency, explore the key benefits driving ...

A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.

A new Apple-backed AI model trained on Apple Watch behavioral data can now predict a wide range of health conditions more ...

Discover best practices that allow data pipelines to scale and support both structured and unstructured data.

Amid growing controversy over how tech giants harvest user data for AI, the Allen Institute for AI (AI2) has introduced a ...