Learn More Natural language processing (NLP), business intelligence (BI) and analytics have evolved in parallel in recent years. NLP has shown potential to make BI data more accessible.

Veradigm Network EHR Data is sourced from over 154 million unique patient records and is one of the most comprehensive ambulatory databases in the United States, providing insights on a wide range ...

His work reflects how AI-native platforms address singular challenges in financial data handling, fraud detection, and risk ...

But NLP and data science are typically not applied to understand how people feel and think about security; they are dependent on honest responses. “A huge number of cognitive biases mean this is ...

“While at Primer, time and again, we encountered a bottleneck ingesting and pre-processing raw customer files containing NLP data (e.g., PDFs, emails, PPTX, XML, etc.) and transforming it into a ...

Promethium, a data management startup based in Menlo Park, Calif., said this week its NLP-generated SQL queries can be used to assemble data across different systems and platforms. The navigation ...

NLP ─ and its sibling, natural language generation (NLG) ─ is everywhere. But this decades-old AI is taking on greater importance because firms are now more easily able to suck in huge amounts of data ...

The NLP in healthcare & life sciences market is projected to grow from USD 5.18 billion in 2025 to USD 16.01 billion by 2030, at a CAGR of 25.3%. This growth is driven by the need to convert ...

“We’re committed to building out the deepest data science capabilities possible to help asset managers navigate a complex trading and investment environment. With these new additions and with Steven ...

The unstructured data is then processed by Veradigm’s NLP models, developed by clinicians and data scientists to extract crucial clinical insights into structured data tables.