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 ...

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

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 ...

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 ...

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 ...

SALT LAKE CITY, Jan. 21, 2026 /PRNewswire/ -- Data Quality Co-op (DQC) today announced the launch of its Data Trust Score ™. Based on observed behavior across the data ecosystem, the Data Trust Score ...

With the addition of Scytec’s DataXchange software, Minitab extends its capabilities to collect comprehensive, real-time operational data from machines such as CNC (Computer Numerical Control) ...

Five big data leaders - FICO, TDC, FFIV, SPGI and MCO - are leveraging AI, analytics and acquisitions to capture rising data ...