NSF Awards $5M to AI-Powered Wildfire Management Tool With another brutal wildfire season in the western U.S. beginning to wane in the face of rains and cooler temperatures, researchers are still ...

During a presentation at Nvidia’s GPU Technology Conference (GTC) this week, the director of data science for Walmart Labs shared how the company’s new GPU-based demand forecasting model achieved a ...

At first glance, the data fabric and the data mesh concepts sound quite similar. Meshes are often made from a type of fabric, after all, and they are both malleable items that can be lain atop ...

The hottest space in big data at the moment arguably exists between the two pillars of AIOps and observability, where a crush of metric, event, log, and trace (MELT) data threatens to overwhelm IT ...

In fact, storing data in Hadoop using those raw formats is terribly inefficient. Plus, those file formats cannot be stored in a parallel manner. Since you’re using Hadoop in the first place, it’s ...

There's no lack of database choices when it comes to building your next big data analytics platform. Relational data stores, column-oriented databases, in-memory data grids, graph databases, scale-out ...

Data scientists spend about 45% of their time on data preparation tasks, including loading and cleaning data, according to a survey of data scientists conducted by Anaconda. The company also analyzed ...

Matei Zaharia, the creator of Spark and CTO of commercial Spark developer Databricks, shared his views on the Spark phenomena, as well as several real-world use cases, during his presentation at the ...

With the National Institute of Standards and Technology (NIST) set to publish the first Post Quantum Cryptography (PQC) Standards in a few weeks, attention is shifting to how to put the new ...

The National Institute of Standards and Technology (NIST) today published the AI Risk Management Framework, document intended to help organizations voluntarily develop and deploy AI systems without ...

In this age of information, to say that the volume of data is exploding is a stark understatement. This big bang of big data is estimated to grow from 33 zettabytes in 2018 to 175 zettabytes by 2025, ...

One of the hottest areas of big data at the moment is log monitoring and its adjacent disciplines, AIOps and cloud observability. The market, which some estimate is worth $17 billion per year, is in ...