Whether you’re generating data from scratch or transforming sensitive production data, performant test data generators are critical tools for achieving compliance in development workflows.

New Deployment Model for Microsoft Azure Cloud Computing Platform Brings AI-Driven Data Security Governance Platform to Organizations Requiring On-Prem Data Processing Concentric AI today announced ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

ZoomInfo reports that 95% of enterprise AI projects fail to deliver ROI due to inadequate data infrastructure. Successful ...

While sensing technologies have advanced rapidly, the study identifies data fragmentation as one of the most persistent ...

Building a trusted data foundation The starting line for any successful AI journey is data readiness and quality. Before ...

BC Platforms, a global leader in healthcare data technology and analytics, today announced a major expansion of its global data capabilities through a strategic partnership with GeneVault ...

Even as they build out agentic tools themselves, leaders from the two companies say the capabilities aren’t quite there yet.

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...

Veeam acquires Securiti AI for $1.725 billion, combining data resilience with DSPM, privacy, and AI governance to enable ...

Among them, extracting structured data from unstructured text: identifying people, places, and events buried in articles; ...

Agentic automation: Perhaps most significantly, conversational memory transforms AI from a transactional tool to a genuinely ...