Recent work under the INTEND project and the paper " Intent-Based Data Operation in the Computing Continuum " points in the ...

The arrival of DeepSeek’s R1 large language model (LLM) shocked the global AI ecosystem, causing many in the U.S. and Europe to reevaluate how we approach AI development. While LLMs from large ...

Some banks are struggling to aggregate market and reference data of sufficient quality to fit the models of the Fundamental Review of the Trading Book ahead of the proposed 2025 deadlines. The ...

COMMISSIONED As enterprises increasingly adopt GenAI-powered AI agents, making high-quality data available for these software assistants will come into sharper focus. This is why it’s more important ...

Data-driven decisions require data that is trustworthy, available, and timely. Upping the dataops game is a worthwhile way to offer business leaders reliable insights. Measuring quality of any kind ...

Product management has similar objectives for any kind of software rollout, but some responsibilities are specific to analytics and data products. Here are five ways a great product manager improves ...

The pharmaceutical industry’s approach to data integrity has been historically manual, leveraging physical documentation and potentially unreliable paper-based ...

The Quality Pathway can drive greater care improvements through the use of multiple complementary levers of change, such as jointly using payment incentives and care delivery requirements to support a ...