3. Lack of Processing Capacity Not only do users need powerful GPUs to train GenAI models, but they also need them for inference. The huge demand for high-end GPUs from Nvidia has outstripped supply ...

It seems that with more data comes more decisions, as well. The study found that 78% reported they are bombarded with more data from more sources than ever before, and 74% say the number of decisions ...

Data cleansing – fixing or discarding anomalous or wrong numbers and otherwise ensuring the data is an accurate representation of the phenomenon it is meant to measure — accounts for more than a ...

To get the low down on this high tech, we tapped the knowledge of the smart folks at Nexla, a developer of tools for managing data and converting formats. Nexla CTO and co-founder Jeff Williams and ...

Additionally, Apache Hive, which marked a huge step forward in big data processing by abstracting away the underlying distributed nature of Hadoop and exposing a familiar SQL (-ish) table abstraction ...

AWS has notified customers of its Amazon Aurora Serverless v1 service that it will cease supporting the offering at the end of 2024. Replacing v1 in the Aurora Serverless range, which supports ...

We’ve entered a period of punctuated equilibrium in the evolution of big data over the past month, thanks to community congregating around open table formats and metadata catalogs for storing data and ...

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, ...

The data we have now is huge. But size, it turns out, is a relative thing. And according to the IDC, the sum of the world’s data – the DataSphere — will grow from 33 zettabytes in 2018 to a ...

Generative AI effectiveness in the enterprise hinges on the ability to successfully train a Large Language Model (LLM) on the company’s own data, encompassing everything from emails to financial ...

According to Chandra, Google started developing Sibyl several years ago for the purpose of generating YouTube video recommendations. The machine learning platform worked so well that, pretty soon, ...

The 13th edition of the annual Flexera State of the Cloud report was based on a survey of 753 cloud decision-makers and executive leaders from various industries including tech, cloud services, and ...