Emerging AI-powered data discovery and semantic search tools promise to cut through the fragmentation, helping CX teams turn ...

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.

OverviewThe global NLP in healthcare & life sciences market is anticipated to expand at a CAGR of nearly 25% during the forecast period, fueled by widespread EHR adoption, rising interest in ...

The DPDP Act has set off a major shift in how enterprises think about data governance. From your perspective, why does the ...

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...

De-identification lays the groundwork, but tokenization is what connects the pieces into a meaningful whole. In an era that ...

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 ...

"In 2026, trust will morph from a promise to a performance metric as banks shift from model-driven to proof-driven intelligence. Demanding verifiable transparency across every prediction, decision and ...

In 2024, the “picks and shovels” in this AI gold rush are LLMs, GPTs and GPUs, each with a relentless demand from buyers.

The modern healthcare data stack unifies patient data for real-time clinical and operational insights to improve decision-making in health systems.

I worked in federal housing agencies after 2008 and I often wonder if agentic AI could have mitigated some aspects of that mortgage-based calamity.