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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 ...
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 ...
One factor driving information overload is just how many sources exist, with 26% of U.S. workers reporting using eleven or more accounts, resources, tools, and applications each day. From emails, ...
Similarly, the number of people actively searching for data and analytics positions in late 2021 decreased dramatically as openings proliferated, according to the UK recruiter Harnham. “Vacancies are ...
Most of AWS ’s plans to meet future GenAI compute demands involve its partner, GPU-maker Nvidia. When the launch of ChatGPT sparked the GenAI revolution a year ago, it spurred a run on high-end A100 ...
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 ...
Stonebraker–who led the teams that created several databases (Ingres, Postgres, Vertica, VoltDB, SciDB) over the years and also won a Turing Award for his work–is known for out-of-the-box thinking and ...
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 ...
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 ...
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 ...
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 ...
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