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 ...

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 ...

The Hadoop processing engine Spark has risen to become one of the hottest big data technologies in a short amount of time. And while Spark has been a Top-Level Project at the Apache Software ...

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 ...

Never before have the challenges of big data–how we store it, manage it, govern it, and use it–been so pressing. Advances in artificial intelligence may be the driving force in 2024, but that doesn’t ...

So you want to implement generative AI? That’s great news! You can count yourself among the majority of IT decision makers who have also seen the potential of this transformative tech. While GenAI has ...

In your quest to build the best data architecture for your organization’s current and future needs, you have many options. Thanks to the mailability of software, those options are nearly infinite. But ...

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 the current tech paradigm, databases run on top of operating systems. But what if that stack was inverted, with an operating system running on top of the database? That’s the idea behind database ...

Access to more information does not necessarily lead to better decision making, according to a new study from Oracle. Though 83% of those surveyed agree that access to more data should make decisions ...

Anaconda created a stir over a year ago when it began charging large commercial users a fee for access to its popular collection of Python tools. The change, it said, was necessary to offset the costs ...

The data landscape experienced significant changes in 2023, presenting new opportunities (and potential challenges) for data engineering teams. I believe we will see the following this year in the ...