The Pennsylvania State Board of Higher Education condensed years of data on enrollment, educational attainment, affordability ...

When change efforts stall, the problem often isn’t a lack of strategy—it’s a lack of true alignment. Teams move forward assuming everyone shares the same priorities, only to discover conflicting ...

The best AI models can't yet beat the engineers they’re supposed to replace at fixing real-world problems, a new benchmark ...

At Temple Health, leaders see artificial intelligence as an opportunity to strengthen how care teams work, particularly by ...

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LAS VEGAS – Improving trust in data exchange depends on ensuring data provenance and understanding its importance, said Didi Davis, vice president of informatics, conformance and interoperability at ...

As agentic AI and regulatory demands accelerate, organizations must reinvent their data core with an adaptable data foundry to ensure scalable, explainable, and compliant AI-driven outcomes There is a ...

The reliability of multiple sequence alignment (MSA) results directly determines the credibility of the conclusions drawn from biological research. However, MSA is inherently an NP-hard problem, ...

The aim of the Igniting Data Insights (IDI) initiative is to build a robust, secure and scalable data infrastructure that supports decision-making across campus and trains employees to use these tools ...

Entity alignment seeks to find entities in different knowledge graphs (KGs) that refer to the same real-world object. Recent advancement in KG embedding impels the advent of embedding-based entity ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1 Without data, enterprise AI isn't going to be successful. Getting all the data in one place and having the right type of data tools, including ...