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 ...

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 ...

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 ...

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 ...

OpenText, provider of an integrated information management platform, has released the results of a survey that found eight out of 10 global workers are suffering from information overload due to ...

These are heady times to be in the big data business, with big growth predicted for the foreseeable future across several measures, including data generation and storage, market spending, and data ...

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 ...

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, ...

Dbt isn’t the only vendor to find that data quality is getting worse. Data observability vendor Monte Carlo published a report a year ago that came to a similar conclusion. The vendor’s State of Data ...

Should you strive to centralize your data, or leave it scattered about? It seems like it should be a simple question, but it’s actually a tough one to answer, particularly because it has so many ...

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 ...