As agentic AI comes into play, buy side weighs outsourced options
Asset managers wanting to use sophisticated forms of AI must square their interest in the tool with mounting cost pressures.
One of the first fields impacted by ChatGPT after its release in November 2022 was coding. To an experienced quant, long stacks of code across a variety of different coding languages had traditionally been a time sink, if not a barrier. Large language models (LLMs) like OpenAI’s GPT-4, Codex, and Google’s Codey let quants convert natural-language requests into usable code and check its accuracy.
But using these platforms at the enterprise level doesn’t come cheap for financial firms facing rising
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@waterstechnology.com or view our subscription options here: https://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@waterstechnology.com
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@waterstechnology.com
More on Emerging Technologies
Deutsche Börse invests $200M in Kraken, DTCC advances cloud strategy, and more
A recap of this week’s major tech and data news in the capital markets.
Waters Wavelength Ep. 350: AI but make it about data basics
This week, Tony and Shen discuss how it’s all about getting back to basics, aka the data.
Model risk in the age of generative AI
Banks are racing to understand the risks posed by a new breed of multi-purpose bots.
Morgan Stanley participating in Anthropic’s Claude Mythos testing
The bank is one of the select few granted access to the hyperscaler’s latest model.
The rise of AI politics
Whether they like it or not, firms are operating in the era of AI politics. David Hardoon says those who ignore that and treat AI as just another technology risk losing ground to others.
How banks are utilizing new AI forms in their KYC process
Execs from JP Morgan, ING, and Standard Chartered explain how they are looking to use agentic AI to streamline KYC workflows.
SmartTrade eyes role as direct streaming linchpin
The vendor plans to tap into growing demand for direct API trading solutions across asset classes.
Blue water rafting: How RBC’s AI Group is navigating the AI rapids
After forming its new AI Group, RBC is building a governance layer to help minimize risks posed by agentic AI.
