Zehra Cataltepe is the CEO of TAZI.AI an adaptive, explainable Machine Learning platform. She has more than 100 papers and patents on ML. First of all, data quality should always be measured in ...

Most data teams discover quality problems the same way: a dashboard looks wrong, a stakeholder files a ticket, and an engineer traces the damage backward through the pipeline. By then, the bad data ...

In the modern enterprise, data isn’t just a byproduct of systems—it’s the lifeblood of decisions, automation and innovation. Yet, as organizations accelerate their data ambitions, one truth becomes ...

Data quality has always been an afterthought. Teams spend months instrumenting a feature, building pipelines, and standing up dashboards, and only when a stakeholder flags a suspicious number does ...

Survey work is a series of complex processes. At the outset, there is sample and questionnaire design, as well as field training. During the data collection stage, there is monitoring and remedial ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...