And because this foundation is built on Ataccama’s market-leading data quality engine, users can not only assess the reliability of their data but also improve it directly within Ataccama ONE, ...

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 ...

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 ...

"AIDA brings together the years of machine learning, profiling and data quality intelligence we've built at Anomalo into a reasoning engine that truly understands enterprise data," said Elliot ...

In the age of algorithmic intelligence, data is no longer just an asset — it is a self-regulating system whose health ...

Pressure to deploy AI is rising. But flawed data means flawed insights, and leaders are calling for a data strategy overhaul.

Agentic AI systems promise to enhance human productivity by automating complex tasks through intelligent reasoning.

Learn the definition of data quality and discover best practices for maintaining accurate and reliable data. Data quality refers to the reliability, accuracy, consistency, and validity of your data.

Many organizations have struggled to harness the IoT’s scale, size, and speedy datasets for a cogent business use case justifying investing in this expression of big data. If the principal challenge ...

Collaboration enables insights from ConcertAI national database of 5.5M clinical records and Guardant profiling data across 60+ tumor types Longitudinal DNA methylation measurements and comprehensive ...

The BigQuery metastore is designed to help enterprises cut down the complexities of metadata management as it supports multiple query engines. Google Cloud is adding a new metadata service that is ...