Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Empromptu's "golden pipeline" approach tackles the last-mile data problem in agentic AI by integrating normalization directly into the application workflow — replacing weeks of manual data prep with ...

As Databahn continues to expand its platform and partner ecosystem in 2026, the company remains focused on enabling enterprises to collect data once, reuse it everywhere and prepare their telemetry ...

Precisely, the global leader in data integrity, today announced new Data Quality, Data Enrichment, and Location Intelligence ...

It’s time for traders to start paying attention to a data revolution underway that is increasingly impacting their ability to both scale their business and provide value to their clients. Capital ...

Despite the continued hype surrounding AI adoption, many overlook one of the biggest factors for AI success: data quality.

Arguably, the two biggest challenges in the FAST ecosystem are managing the ad experience and delivering ROI for the brands that support the platform. Evan Shapiro, CEO, ESHAP, Patrick Courtney, SVP, ...

Do you agree? Data normalization isn’t the finish line. Harmonization is. Even after basic normalization, datasets can drift ...

We’d rather downplay the weaker-than-expected manufacturing data and focus on a solid recovery in retail sales and a reacceleration in inflation, which will be welcomed by the Bank of Japan. Inflation ...