The enterprise software market will grow from $299 billion in 2013 to $320 billion by 2014, at a growth rate of 6.9%—more than double the growth Gartner expects for the overall tech industry.

The role of data is critical in AI models, so thorough data acquisition and preprocessing is necessary to ensure successful outcomes. By Jeanne-Louise Viljoen, Data engineer, PBT Group.

Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models.

All aspects of AI—machine learning models, continuous learning, generalization and predictive and descriptive analytics—are dependent on massive data sets. The more diverse and comprehensive ...

As they address data-management challenges while shoring up student retention and boosting enrollment, they need clear, well-organized data to avoid “garbage in, garbage out,” in which poor quality ...

Scale AI, which provides data-labeling services to companies that want to train machine learning models, has raised a $1 billion Series F round from big-name institutional and corporate investors ...