Many organizations are entering 2026 under pressure to deliver measurable value from AI initiatives while operating with ...

To establish a consistent approach to assess, manage and improve data quality across the data lifecycle, covering a wide spectrum of data types, and taking into account the blurred line between data ...

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 ...

Data quality is an essential aspect of any successful enterprise data management strategy. In today’s business environment, it is essential to maintain a high standard of data quality to support ...

Data science and machine learning teams face a hidden productivity killer: annotation errors. Recent research from Apple analyzing production machine learning (ML ...

Following the explosion of generative AI (GenAI), 2023 was all about experimentation. Enterprises explored the possibilities of innovative technologies like ChatGPT, Bard and others. However, as we ...

Marketers suffer from a variety of negative consequences stemming from poor-quality data that collectively drains marketing resources and limits effectiveness. Wasted media spend is the most ...

Personalized nutrition is gaining consumer interest as companies enhance data quality through diagnostics and major players like Kroger expand shopper access to nutrition services. The growing ...

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 ...

When leaders say they want to be a data-driven organization, a key objective is empowering business people to use data, predictive models, generative AI capabilities, and data visualizations to ...