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 ...

How should a company begin to put in place a data quality management strategy? First, as with all disciplines, IT executives must assess the current state of data in the enterprise. Once they’ve ...

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 ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

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.

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Data has grades. Much like olive oil, flour, gasoline, beef ...

In healthcare, the costs are not merely financial. Incomplete, inconsistent or delayed electronic health records can lead to ...

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 ...

Trillium Software, a subsidiary of Harte-Hanks announced today the acquisition of Avellino Technologies, a vendor of data profiling software. Financial terms of the acquisition were not disclosed.

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.