How To Get High-Quality Data To Fuel Your AI

High-quality AI outcomes largely depend on how data is captured, ingested and contextualized, especially in AI that is purpose-built for your industry.
Forbes

Data Quality: The Real Bottleneck In AI Adoption

Vikram is the co-founder and CEO at Galileo, a category leader for ML data quality. Previously, he led product management at Google AI. Few topics get tossed around as objects of intrigue, excitement ...
PharmTech

From Guidance to Operating Model: Preparing CMC and Quality Systems for FDA's Digital-by-Default Oversight

Taken together, these signals operationalize a data-centric oversight model. They also raise a practical question for CMC and quality leaders: if evidence is increasingly remote-ready and ...
TechRepublic

Data Modeling vs. Data Analysis: An In-Depth Comparison

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...