While many organizations are experimenting with synthetic data, few are focusing on scalability and building AI-ready data ...

An organization must have a clear and coherent enterprise data strategy to achieve its goals. In the financial sector, different business areas have diverse data requirements and preferences, ...

Query compilation and execution form the critical backbone of database systems, where high-level queries are translated into efficient low-level machine code and then executed to retrieve data.

The role of data science in financial markets has seen considerable evolution in recent years. However, according to Stephen Ponzio, Managing Director, Head of Electronic Trading at BTIG, the ...

Sales professionals often believe they’re putting in the work. They’re making calls, setting meetings and pushing deals—but when the numbers come in, the results don’t match the effort. The issue ...

Buy-side firms are consistently faced with burgeoning volumes of data, necessitating adept management of expansive data extractions, a task fraught with intricacies and considerable costs. Arthur Orts ...

As algorithmic trading and machine learning take a bigger role in the financial world, the importance of high-quality data has never been more critical. That was one of the themes that emerged from ...