Goldman CIO Marco Argenti on the Warp-Speed Improvements in AI | Odd Lots
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摘要
When we last spoke to Marco Argenti, chief information officer at Goldman Sachs, we were talking about how the bank was deploying AI, including the development of its own internal tools. But that was a year and a half ago and a lot has changed since then, especially with the arrival of agentic platforms like Claude Code. So what exactly is Goldman Sachs doing with AI now? And what has its experience with the new tech been like so far? On this episode, we catch up with Marco to discuss what AI deployment at the bank actually looks like at the moment — including how AI coding is changing the work of its developers and engineers — to all the data challenges and regulatory concerns that come with integrating this technology at scale.
Chapters:
00:00:00 - Introduction and AI Evolution Discussion
00:04:03 - AI Transformation at Goldman
00:07:09 - GSAI Assistant Capabilities and Data Quality
00:10:14 - Developer Transformation and Agentic AI
00:13:39 - Impact on Legacy Software Vendors
00:19:47 - Forward Deployed Engineers and Direct Partnerships
00:22:16 - Integration Challenges and SaaS Evolution
00:23:34 - Weekend Coding Examples
00:24:57 - Token Budget Management and Cost Optimization
00:30:27 - Future Token Economics
00:32:27 - Security and Installation Controls
00:35:52 - Speed vs. Velocity Philosophy
00:38:28 - Regulatory Compliance and Model Risk Management
00:40:56 - Information Barriers and Data Governance
00:46:20 - Talent and Skills Transformation
00:49:00 - Work-Life Balance and Developer Experience
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