High-quality AI outcomes largely depend on how data is captured, ingested and contextualized, especially in AI that is purpose-built for your industry.

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 ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Biometric data quality was in focus at MOSIP Connect 2026 in Rabat, Morocco, from policies for ensuring good enrollment practices to tools for assessment.

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

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.

Modern enterprise data platforms operate at a petabyte scale, ingest fully unstructured sources, and evolve constantly. In such environments, rule-based data quality systems fail to keep pace. They ...

Allowing quality data in can lead to a better understanding of an organization. Here are 5 steps to improve your organization's data quality for unstructured data. Image: momius/Adobe Stock Finding ...

Data is the lifeblood of search. The remarkable evolution of AI and the introduction of generative AI has been built on data foundations. However, the success of any innovation, product, or ...

Quality health data is essential to quality healthcare. Providers can’t effectively treat patients unless they have timely access to thorough and accurate data about their medical condition and ...

In this episode of Need to Know, our series covering the topics and issues influencing markets and the global conversation, Michael Beal, Co-Head of Enterprise Data Science at Bloomberg, discusses the ...