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 ...

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 ...

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 ...

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 ...

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 ...

Everest Group, a Dallas, Texas-based IT analyst firm, analyzed 19 software vendors and outsourcing providers in its Data Annotation and Labeling (DAL) Solutions for AI/ML PEAK Matrix Assessment 2024 ...

As overseers of our digitized marketplaces, credit card companies have a bird’s eye view of what we buy. If you want to know what American consumers are interested in, there’s perhaps no better way ...

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 ...

With $274 billion in revenue last year and $3.3 trillion in assets under management, JPMorgan Chase has more resources than most to devote to building a winning data and AI strategy. But as James ...

For example, commodity traders used geospatial data to understand the number of oil tankers under sail in the ocean at any point in time, which describes the short-term supply of that crucial ...