How Experian’s AI Agents Are Transforming Financial Services and Fighting Fraud скачать в хорошем качестве

How Experian’s AI Agents Are Transforming Financial Services and Fighting Fraud

In this episode of Experian Exchange, Jack Yu, Director at Experian North America Data Labs, shares how organizations can build AI agents that are not only powerful, but also trusted to complete tasks appropriately. He explains why responsible AI must be designed from the start, with privacy, integrity, and governance embedded into every system. Jack discusses three categories of AI agents: worker, orchestration, and governance. He also highlights best practices like verification, intent alignment, continuous monitoring, and revocation controls. The conversation also explores how generative AI can accelerate innovation, expand access to insights for nontechnical teams, support equity and inclusion, and strengthen fraud prevention. Key topics include: Responsible AI: privacy, integrity, and trust by design How businesses can integrate and manage AI agents Experian Assistant and natural-language analytics in real time Worker vs. orchestration vs. governance agents Security best practices: verification, intent alignment, and revocation controls Using GenAI to accelerate innovation—and fight fraud “fire with fire” Chapters 00:01 – Welcome to Experian Exchange 00:14 – Why trusted AI matters 00:42 – Responsible AI priorities at Experian Data Lab 01:36 – Integrating AI agents: build vs. buy 02:57 – Experian Assistant: real-time conversational analytics 03:41 – The 3 categories of AI agents 04:46 – Security & compliance best practices 06:27 – Equity & inclusion in the customer experience 06:53 – GenAI for innovation + fraud prevention 08:15 – Closing Subscribe for more interviews and insights from business and technology leaders. #ExperianExchange #ArtificialIntelligence #ResponsibleAI #AIAgents #Data #FraudPrevention #GenAI #Innovation #Cybersecurity #Trust