The ONE AI Agent learns, executes, and explains complex data tasks, automating the work of data quality and governance, while the Ataccama MCP Server connects trusted, explainable data to AI tools ...

"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 ...

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

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 ...

SAN FRANCISCO--(BUSINESS WIRE)--Monte Carlo, the data and AI observability company, today announced a series of product enhancements and new capabilities at its annual IMPACT Data Observability Summit ...

In the age of algorithmic intelligence, data is no longer just an asset — it is a self-regulating system whose health determines the stability and success of modern enterprises. To manage data ...

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 ...

French open-source data-integration vendor Talend SA today unveiled its data profiling application, which will allow companies to assess their data quality as a key part of data integration projects.

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 ...