In modern enterprise data platforms, data quality and data governance protocols are essential to ensuring the reliability, ...

Modern analytics pipelines often follow the medallion architecture, which organizes data into Bronze (raw), Silver (cleansed) ...

Saptaparna Gupta's Data Quality Control Assessment (DQCA) proactively embeds quality checks into financial workflows, ...

Marketing strategies are as diverse as the platforms they're deployed on. In an industry where attention is the currency and measurable sales are the prized possession, certain fundamental principles ...

Turn rules into automatic checks. Convert your business rules into a machine-readable checklist that runs every time someone ...

As AI evolves, data isn't the new oil—it's our digital DNA. Its quality, ethics, and privacy will decide whether technology ...

AIDA brings together the years of machine learning, profiling and data quality intelligence we’ve built at Anomalo into a reasoning engine that truly understands enterprise data,” said Elliot Shmukler ...

A new era of autonomous data management has begun with the emergence of Agentic AI, the systems that can observe, learn and ...

For decades, fraud and AML professionals have had to choose between two imperfect tools: Unit21's AI Rule Recommendations eliminate that trade-off by combining the learning power of AI with the ...

Canada lowered the number of international student permits it issues for the second year in a row in early 2025 as part of a broader effort to reduce the number of temporary migrants and address fraud ...

Organizations have been investing heavily in data, analytics and AI for decades. The promise is clear and ambitious: Better ...