Organizations are turning to machine learning because of the return on investment. The ones doing it in real-time are topping the charts.

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.

When machine learning algorithms are fed a steady stream of real-time data, they can quickly detect bottlenecks, anomalies and other operational inefficiencies.

There's a surprising trick for greatly increasing the chances of real impact, true success with many types of machine learning systems, and that is 'do the logistics correctly and efficiently.' That ...

Paired with machine learning at the edge, informed medical decisions based on these real-time data streams are now possible.

Bio Sherin Thomas is a senior software engineer at Lyft. In her career spanning eight years, she has worked on most parts of the tech stack, but enjoys the challenges in Data and Machine Learning ...

Data export is sometimes to a data warehouse or data lake for deep analysis and machine learning. Pub/sub and topics.

Since its pivot from mail-order video to streaming in the early 2000s, Netflix had extensively used machine-learning algorithms to optimize customer experience and retention. In this case, students ...

Iterative announced Iterative Tools School, a free online course for data scientists to learn how to use Iterative tools.

Sports cars are notoriously difficult and expensive to maintain, but the streaming data warehouse actually simplifies the analytics process and limits machine learning operational costs.