Accelerating Data Science with Knowledge Graphs


"Do more with less"
—Every executive to every line-of-business

The above adage has accelerated growth in data science automation. This white paper further expands on how knowledge graphs meet the needs of modern data science. 

Grab the White Paper

The Marriage of Data Science and Knowledge Graphs

Semantic knowledge graph platforms help organizations overcome scalability challenges by accelerating core data science processes like data preparation and feature engineering.

These high-performance scalable platforms integrate with popular machine learning and AI tools further empowering organizations to easily expand their data science practices.

Here are a few reasons semantic knowledge graph platforms are well suited for data science projects:

Accelerate the data exploration and feature extraction
Innate exposure of unforeseen data connections
Ease of adding potential signal sources
Automatic query generation and automatic data profiling

Fill out the form to receive this white paper detailing the preparation, operationalization, and functionality necessary for successful data science projects.

You'll gain a fuller understanding as to why a scalable knowledge graph platform could be the right choice for your data science initiatives. 


Download a copy

Hero Background Image Photo by Jeremy Martins on Unsplash.