Merit is making its Scholars program widely available. It's a team of experts to fine-tune generative AI models for ...

In this episode of DEMO, host Keith Shaw is joined by Matt Fuller, Co-Founder of Starburst, to explore how their innovative data platform unifies access to distributed data—whether it's in the cloud, ...

Graphwise GraphDB 11 Gives Organizations Tools to Create an Enterprise-Wide Data Fabric for Reliable AI Graphwise, a leading Graph AI provider, is releasing GraphDB 11, a database engine that enhances ...

In this interview, the team at n6 discusses their groundbreaking iconPCR thermocycler and its impact on laboratory automation ...

The Australian health technology company has launched its AI-powered scribe platform in Singapore to help healthcare ...

The tool, called Quality Interception Point (QuIP), will use AI algorithms and an understanding of respondent personas to support access to good quality data. QuIP will focus on helping researchers ...

Excel offers several tools to simplify this process and improve data quality: TRIM: Removes extra spaces from text, making sure uniformity across your data set.

The increase in data flow combined with changes in data structures has resulted in increasing opportunities for data quality and safety to be compromised, posing risks to patients and critical ...

Even the best tools and architecture won’t prevent data quality degradation without governance. Governance connects policies to practice, aligning standards, roles and responsibilities.

Christ: In the previous "order_total" example, the data quality SQL query can be used by data quality tools (such as the Data Contract CLI) to execute data quality checks in deployment pipelines.

“Kolena was primarily a data quality company, and for a long while it was focused on testing and enhancing model quality, so it’s interesting to see it branch out into agentic AI,” Thurai said.