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Watch this episode as a video on Spotify!
In this episode, Luis Pazmino, Industry Principal for Financial Services at MongoDB, sits down with Saurabh Khandelwal from Capgemini to explore how financial institutions can transform payments data into a strategic revenue engine.
The conversation dives into GenPAL, Capgemini’s solution powered by MongoDB’s modern data platform, and how it enables organizations to move beyond data storage toward real-time intelligence, AI-driven insights, and data monetisation.
In this episode, we discuss:
• Evolving Payments Landscape: Key shifts shaping data strategies and opportunities in payments
• Modern Data Foundations: Building scalable, real-time architectures to support high-volume transactions and compliance needs
• From Data to Value: Turning payments data into actionable insights and new revenue streams
• AI at Scale: Leveraging gen AI and agentic AI for fraud detection, customer intelligence, and operational efficiency
• Pragmatic Modernization: How to adopt AI and modern data platforms without a “big bang” approach
Whether you’re a fintech innovator or a financial institution navigating legacy systems, this episode offers practical insights on unlocking the full value of payments data with AI and modern data platforms.
Timestamps
00:09 – Introduction
01:05 – Introducing GenPAL
02:38 – The tactical shift: From standard BI to Agent AI
04:56 – Identifying strains
06:59 – Solving payment failures
08:48 – Sub-millisecond latency
12:48 – The "Experience Gap"
15:01 – Strategic advice
18:14 – High-level architecture
21:35 – Real-world success
24:09 – Future outlook
By MongoDB4.9
7373 ratings
Watch this episode as a video on Spotify!
In this episode, Luis Pazmino, Industry Principal for Financial Services at MongoDB, sits down with Saurabh Khandelwal from Capgemini to explore how financial institutions can transform payments data into a strategic revenue engine.
The conversation dives into GenPAL, Capgemini’s solution powered by MongoDB’s modern data platform, and how it enables organizations to move beyond data storage toward real-time intelligence, AI-driven insights, and data monetisation.
In this episode, we discuss:
• Evolving Payments Landscape: Key shifts shaping data strategies and opportunities in payments
• Modern Data Foundations: Building scalable, real-time architectures to support high-volume transactions and compliance needs
• From Data to Value: Turning payments data into actionable insights and new revenue streams
• AI at Scale: Leveraging gen AI and agentic AI for fraud detection, customer intelligence, and operational efficiency
• Pragmatic Modernization: How to adopt AI and modern data platforms without a “big bang” approach
Whether you’re a fintech innovator or a financial institution navigating legacy systems, this episode offers practical insights on unlocking the full value of payments data with AI and modern data platforms.
Timestamps
00:09 – Introduction
01:05 – Introducing GenPAL
02:38 – The tactical shift: From standard BI to Agent AI
04:56 – Identifying strains
06:59 – Solving payment failures
08:48 – Sub-millisecond latency
12:48 – The "Experience Gap"
15:01 – Strategic advice
18:14 – High-level architecture
21:35 – Real-world success
24:09 – Future outlook