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The technology lab for the world’s largest company was pitted against an existing demand forecasting system that was developed by JDA Software. That system was no slouch, but Walmart’s internal ...
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 ...
“In 2024, we’ll see an enterprise explosion of truly unstructured data (audio, video, meeting recordings, talks, presentations) as AI applications take flight. This is highly ‘learnable’ content from ...
On the other side of the coin are object storage systems like Amazon Web Service ’s S3 and Microsoft Azure Data Lake Storage (ADLS), which provide very scalable and very inexpensive places to park ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
First, we’ll define and demystify these terms. Second, I’ll share some key business use cases that cannot be solved with traditional relational data catalogs. Finally, I’ll wrap it up by getting ...
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