Big data is a moving target, and it comes in waves: before the dust from each wave has settled, new waves in data processing paradigms rise. Streaming, aka real-time / unbounded data processing ...

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

Otherwise known as event-driven architecture, streaming data is a software design model that is structured as a stream of distinct changes to the state of data.

Streaming data records are typically small, measured in mere kilobytes, but the stream often goes on and on without ever stopping.

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights.

This Lambda architecture, as it would later become known, would combine a speed layer (consisting of Storm or a similar stream processing engine), a batch layer (MapReduce on Hadoop), and a server ...

The benefits of streaming-first infrastructure for real-time ML are online prediction for fast responses and continual learning for adapting to change in data distributions in production.

It is easy to come out of a presentation on “big data” these days thinking that the future of manufacturing information technology (IT) is a combination of three things: connected machines, data ...

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

This insideHPC technology guide, insideHPC Guide to HPC Fusion Computing Model – A Reference Architecture for Liberating Data, discusses how organizations need to adopt a Fusion Computing Model to ...