Vendors
日本語
search
  2. //
  3. Reports & insights
  4. //
  5. Generative AI Making Waves: Adoption Waves in Banking and Capital Markets

Generative AI Making Waves: Adoption Waves in Banking and Capital Markets

Create a vendor selection project
Click to express your interest in this report
Indication of coverage against your requirements
A subscription is required to activate this feature. Contact us for more info.
Celent have reviewed this profile and believe it to be accurate.
We are waiting for the vendor to publish their solution profile. Contact us or request the RFX.
Projects allow you to export Registered Vendor details and survey responses for analysis outside of Marsh CND. Please refer to the Marsh CND User Guide for detailed instructions.
Download Registered Vendor Survey responses as PDF
Contact vendor directly with specific questions (ie. pricing, capacity, etc)
1 May 2024
Alenka Grealish
Patrick Wegner

Abstract

Generative artificial intelligence (Al) is making headlines on a daily basis. Economists are estimating that it could add up to $20 trillion to global GDP by 2030. Leaders in the industry are excited about the potential and frontrunners in banking and capital markets are announcing pilots and moving into production with generative AI-powered tools. Given all this potential, you are likely thinking about developing a generative Al blueprint to remain competitive.

To help banks and capital markets participants to continue to plan their journey, AWS commissioned Celent to develop this report, which defines three distinct generative Al adoption waves in banking and capital markets and identifies strategies for navigating each.

Celent WaveGram:

Celent identified the accelerators and impediments that affect the outcomes of each wave. Over time, new use cases will become technologically possible and economical, allowing Generative AI to enter workflows across the banking and capital markets value chain.

Although many use cases will be common across banking and capital markets the impact will vary both across and within the verticals. Celent analysis identifies these differences and details the overall impact of use cases on the industry.

Read this report to:

  1. Be informed about factors influencing generative AI development and adoption
  2. Develop a strategic plan to harness generative AI at the use case level along your value chains
  3. Make sound prioritization decisions

As generative Al's potential for financial services crystallizes, this framework aims to distinguish hype from reality and help guide your successful implementation.

Client Access

Related Research

GenAI - Lens on Use Cases in Capital Markets

GenAI - Lens on Use Cases in Corporate Banking

GenAI - Lens on Use Cases in Retail Banking

GenAI: Turbocharging AI in Capital Markets

GenAI-oneers in Banking: Bank Survey and Spotlights

Generative AI in Capital Markets Roundtable Summary

Generative AI: Mitigating Risk to Realize Success in Banking