If you’re building fraud prevention, risk scoring, or identity enrichment into a product, your outcomes depend on one thing: the quality of your identity data. A lot of identity data on the market is ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Aaron Erickson at QCon AI NYC 2025 emphasized treating agentic AI as an engineering challenge, focusing on reliability ...

The future of the field isn't less engineering but better engineering, where people focus on design, integrity and impact ...

Organisations collect and store more data than ever, often with the belief that more data automatically leads to a ...

Strong data quality checks reduce bias, drift and inconsistencies that can distort analytics and AI outcomes before datasets ...

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.

Some AI companies are using techniques and financial products seen in the run-up to the great financial crisis of 2008.

Entity classification is similarly divergent. FATCA distinguishes FFIs and NFFEs under Treasury Reg §1.1471-5 (e), while CRS applies a broader "managed-by" test that captures many holding vehicles ...

Extract data and apply schemas across your multi-modal content, with confidence scoring and user validation enabling greater speed of data ingestion. Process claims, invoices, contracts and other ...