How OpenAI is Completely Transforming Finance Right Now (Exclusive Interview w/ James Dyett)

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2024-06-23に共有

In this episode, I sit down with James Dyett, head of platform at OpenAI. James discusses how AI is revolutionizing finance, with insights from clients like Morgan Stanley and Klarna. Learn how Morgan Stanley uses AI to improve wealth management and how Klarna has automated two-thirds of its customer service tasks. We also touch on Oscar Health and Nubank, exploring how AI enhances their operations. James shares his strategies for implementing AI solutions and the future of AI in the industry.

James Dyett: www.linkedin.com/in/jamesdyett/

00:00:00 - Introduction to AI in Finance
00:00:37 - Customer Use Cases: Morgan Stanley & Klarna
00:01:14 - Guest Introduction: James Dyett
00:01:32 - James Dyett's Journey from Stripe to OpenAI
00:04:26 - Morgan Stanley's AI-Driven Wealth Management Tool
00:08:45 - Evaluation and Feedback Process
00:11:07 - Scaling AI Across Morgan Stanley
00:14:20 - Klarna's AI-Driven Customer Service Automation
00:18:26 - Future of Customer Service with AI
00:20:22 - AI's Impact on Employment
00:24:46 - Nubank's AI Integration
00:27:23 - Customer Insights and Feedback Loop
00:29:01 - Oscar Health's AI Implementation
00:33:33 - Challenges in Enterprise AI Adoption
00:39:05 - Building the Go-to-Market Strategy
00:44:30 - Organizational Growth and Challenges
00:49:49 - Future of AI in Financial Services
00:54:36 - Closing Thoughts

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コメント (14)

@raymota5343 1ヶ月前

For a minute I thought it was Sam Altman talking until i looked at the video. Excellent interviewer and interviewee — well done!!!
@dawithaileleul4299 1ヶ月前

37:40 is the visceral aha moment, which is the X factor. The last time I could think of a product with the same level of aha for me personally was when I called Uber for the first time.
@Sergeo333 21日前

This was really good! very informative!
@alexanderbrown-dg3sy 1ヶ月前

Working on models myself. I think it’s actually insane Morgan Stanley has been so aggressive with deployment. All models due to positional encoding methods are trash at context utilization, like multi-hop fact synthesis which is MUST for RL use. I have a feeling their next model will have the same limitations, just more capacity, so at least it will be more reliable.
@gabrielyao9840 1ヶ月前

Great questions and inspiring answers, just an excellent interview!
@dhritayyyyyy 21日前

One of the reasons why AI scaling is different from traditional revolutions (approach from Startups to scale to enterprise) is probably because of its dependency on Data. Which startups essentially wouldn't be able to live up to Scepticism around AI is a good thing, because soon everyone is going to realise that the impact is a compounding and an iterative one. And the ones to lead are only going to be the one's who start to adopt early
@simonnilsson5356 1ヶ月前

Would liked to know a lot more details about Klarna’s implementation. Like, how do they, technically, make the LLM execute tasks? Is it agentic, is it integrating with a traditional software to execute tasks etc.?
@enterprising9 1ヶ月前

Awesome storytelling! Love this interview guys 🎉
@MannyBernabe 1ヶ月前

Excellent. Great tips on GenAI enterprise GTM. Thank you.
@CambrianHQ 1ヶ月前

who do you think benefits the most from implementing AI? Fintechs like Klarna or incumbents like Morgan Stanely?
@WorkAnywhereGo 28日前

Excellent convo!
@dan-cj1rr 1ヶ月前

were all gonna get fked in the 4ss in the end.
@clifftanch 1ヶ月前

I have witnessed a number of banks in developing markets try hard to shut down branches because of the cost, so the idea that ATMs lead to hiring of more tellers sounds false and wishful thinking.