High-impact AI implementations are more likely to treat data architecture, governance, and operationalization as strategic requirements, according to TDWI's 2026 Blueprint report.

High-impact AI implementations are more likely to treat data architecture, governance, and operationalization as strategic requirements, according to the 2026 Blueprint report from TDWI.

Abstract: Semantic segmentation is a crucial component of autonomous driving. However, the segmentation performance in unstructured roads is challenging owing to the following reasons: 1) irregular ...

Enterprise AI depends on data pipelines. Learn why data quality, schema drift and monitoring decide success before models go live.

There was no significant difference in accuracy between gpt-oss-120b and gpt-oss-20b for multiclass extraction. Conclusions: Multiple LLMs consistently achieved human-level accuracy in extracting ...

The FDA's new rules mean you can no longer just submit basic health data codes, since the most critical patient details are hidden in clinical notes.

Every prompt your team sends to a language model is a potential data-exfiltration event. According to Cyberhaven's 2026 AI ...

The experience database has moved from optional infrastructure to a foundational competitive requirement for law firms.

For the past many years, insurance AI has had one clear job, and that is to create claims at a faster pace. FNOL went digital ...

Research, Evaluation, and Learning (REL) is dedicated to the continuous discovery of evidence-based insights while creating pathways to advance health equity across the nation. We’ve established three ...

The AI race isn’t about models anymore — it’s about who controls the data context. To avoid massive vendor lock-in, you need to own your system's ontology.

For the past many years, insurance AI has had one clear job, and that is to create claims at a faster pace. FNOL went digital ...