Reimagining Treasury Analytics: From Banking Data to AI-Driven Answers скачать в хорошем качестве

Reimagining Treasury Analytics: From Banking Data to AI-Driven Answers

Treasury teams don’t need a massive project to restructure or normalize every dataset before applying AI. Instead, they can take a gradual approach that preserves data in its original form while enriching it with context and definitions. That’s the method endorsed by Ed Barrie, co-founder and chief product officer of Treasury4, a fintech that offers a cloud-based analytics platform. In a new video clip from an upcoming Strategic Finance Lab podcast episode sponsored by Treasury4, Mr. Barrie outlines how his firm helps companies enrich datasets one at a time—starting with transaction-level banking data—and apply structure without overhauling systems or forcing everything into a single model. Watch the video to learn why keeping data in its native format, paired with strong definitions and metadata, is a more effective foundation for future analytics and AI than launching a top-down transformation. And read the full story here: https://www.neugroup.com/reimagining-...