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 ...

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, ...

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 ...

As overseers of our digitized marketplaces, credit card companies have a bird’s eye view of what we buy. If you want to know what American consumers are interested in, there’s perhaps no better way ...

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, ...

Everest Group, a Dallas, Texas-based IT analyst firm, analyzed 19 software vendors and outsourcing providers in its Data Annotation and Labeling (DAL) Solutions for AI/ML PEAK Matrix Assessment 2024 ...

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 ...

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 ...