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, ...

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 ...

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 ...

“The United States government is mandating their agencies to it, but industry as well as going to need to be doing this migration. The migration is not going to be easy [and] it’s not going to be pain ...

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 ...

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 ...

“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 ...

In the past, database customers usually turned to independent software vendors (ISVs) for data management functions like data lineage tracking, data governance, data integration/ETL, data quality, 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 ...

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 ...