Why Data Matters for AI Poor data quality and fragmented identity undermine predictive performance. TransUnion’s identity graph and enrichment capabilities provide the single source of truth AI ...

Predictive modeling technology is capable of sifting through massive data sets and uncovering the patterns and trends that correlate the target data elements to some outcome(s) of interest. Paul ...

DENVER--(BUSINESS WIRE)--Wiland, Inc., a leading marketing data and predictive audience solutions provider, announced the unveiling of MarketSignals™—its flagship data product. Introducing ...

John Readman is the CEO of ASK BOSCO, which gives online retailers and marketing agencies the power of AI predictive marketing analytics. Between 2010 and 2025, the total amount of data created across ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Theoretical and simulation estimates of turbulent transport (high-dimensional data that depend on plasma conditions such as density, temperature, and magnetic field) are used as low-fidelity data, and ...

Discover how predictive maintenance from Comet extends rail component life, reduces downtime, and lowers lifecycle costs ...

Chad Beam provides the ins and outs of the implementation of GIS, advanced communication systems and predictive modeling to ensure that staffing, to whatever extent, is utilized most effectively. A ...

The acquisition brings the firm’s regulation-ready rent data and AI-driven modeling to REBA’s operational analytics platform.

Data analysis is helping operators in the solar power sector develop more efficient systems that optimize operations and deliver cost savings. Utilities and other developers of solar power ...