It’s no longer how good your model is, it’s how good your data is. Why privacy-preserving synthetic data is key to scaling AI. The potential of generative AI has captivated both businesses and ...

Anomalo Inc., an enterprise platform that uses artificial intelligence to monitor and ensure data quality, today unveiled ...

This is the billion dollar blind spot: Most enterprises are solving the wrong data problem. Enterprises often assume that ...

The data purgatory hits major technology initiatives like AI projects when obstacles are created by data accuracy, quality, and accessibility. Fast Company has put a spotlight on the make-or-break ...

PHILADELPHIA--(BUSINESS WIRE)--Qlik®, a global leader in data integration, data quality, analytics, and artificial intelligence (AI), today released a new survey of 500 professionals working with AI ...

Modern analytics pipelines often follow the medallion architecture, which organizes data into Bronze (raw), Silver (cleansed) ...

A recurring theme in big data over the past two decades is the poor quality of data. No matter how much ink is spilled on the topic, organizations continually seem surprised that the data they want to ...

Cloud security and application monitoring giant Datadog Inc. said today it’s looking to expand the scope of its data observability offerings after acquiring a startup called Metaplane. The financial ...

Zehra Cataltepe is the CEO of TAZI.AI, an adaptive, explainable AI and GenAI platform for business users. She has 100+ AI papers & patents. In many industries, including banking, insurance and ...

In modern enterprise data platforms, data quality and data governance protocols are essential to ensuring the reliability, ...

In today’s data-driven world, data observability is a critical concept for organizations aiming to effectively manage their data. Simply put, it means having the ability to constantly monitor and ...

In today’s day and age, we are inundated with large amounts of data, coming in from new sources, containing a greater variety and more complex data sets. But what we need isn’t more data, but better ...