FATF wants larger datasets and real-time information sharing to fight fraud, but surveillance heavy compliance has not ...

OceanBase today announced the release of OceanBase AI Database, a comprehensive portfolio designed to enable enterprises to ...

Traditionally, most read operations were tightly coupled to the validator infrastructure. In April 2026, Triton One and the ...

It will take years to transform business, but the journey begins now. by Marco Iansiti and Karim R. Lakhani Contracts, transactions, and the records of them are among the defining structures in our ...

Abstract: High utility itemset mining (HUIM) is one of the most compelling problems in data mining, extending frequent itemset mining (FIM) and serving as a crucial method for analyzing customer ...

Usually, our applications operate with the current state of a domain object. But sometimes, we need to know the entire history of the domain object changes. For example, we want to know how an order ...

Every day, financial institutions process billions of card, ACH, and wire transactions across rails that have barely changed since the 1970s and the data that passes through those rails is notoriously ...

Enterprise data teams moving agentic AI into production are hitting a consistent failure point at the data tier. Agents built across a vector store, a relational database, a graph store and a ...

NEW YORK--(BUSINESS WIRE)--Spade, the data and AI platform transforming how financial institutions use transaction data, today announced $40 million in Series B funding. The round was led by Oak HC/FT ...

Audit data shows over 20% of vendor purchases made with Empowerment Scholarship Account dollars could be barred under the program's guidelines. The program, run through the Arizona Department of ...

Abstract: Database application programs are often designed to be executed concurrently by many users. By grouping related database queries into transactions, DBMS (database management system) can ...

Five years ago, Databricks coined the term 'data lakehouse' to describe a new type of data architecture that combines a data lake with a data warehouse. That term and data architecture are now ...