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2024 Global Outlook for Banks and Financial Markets
Regenerate the banking industry with AI

Generative AI can help streamline and optimize the operation of core banking systems and financial services. With artificial intelligence capabilities, banks can:

  • Overcome skill shortages with accelerated code development

  • Reduce operational downtime

  • Oversee risk management and compliance

  • Drive digital transformation

  • Enhance customer experience

  • Accelerate application modernization

  • Reshape onboarding and employee experience 

  • Boost efficiency in business processes

In fact, by enabling end-to-end data integration and automating workflows, AI can help corporate banking operations and retail banking transform from fragmented business models to a data-driven supply chain.

IBM has led innovation in the financial services industry for more than 100 years. As a trusted partner to more than 90 of the world’s largest banks, our hybrid cloud and AI capabilities help banks adopt new technologies, elevating their digital experience with advanced digital banking solutions, and driving profitability in the evolving retail and commercial banking landscape.

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Drive ROI across talent management with watsonx Orchestrate.

 

State of AI in the banking industry in 2024

Use cases

See some of the real-world applications for AI in banking

Application modernization Facilitate transformation at scale with secure, nimble and resilient platforms Put AI to work for banking application modernization AI Coding Assistants for Application Modernization and IT Automation

Customer service Deliver improved experience, increased revenues and lower costs  Estimate your watsonx ROI Put AI to work for customer service in banking

Marketing Deliver hyper-personalized content to the right customers in the right channels at scale A blueprint for AI-powered marketing transformation in Financial Services IBM named a Leader in Everest Group’s PEAK Matrix for Adobe Services 2024 report

Finance-BPO Boost performance and reduce risk and costs with automation Put AI to work in finance for financial services Citi + IBM: Bringing internal audit and AI together

Supply chain Automate trade finance and drive business performance IBM named a Market Leader in the HFS Horizons Supply Chain Services 2023 Report IBM is a leader in 2023 IDC MarketScape for worldwide supply chain Oracle ecosystem services

IT Ops Accelerate software development and reduce operational downtimes 2024 Global Outlook for Banking and Financial Markets Crédit Mutuel Alliance Fédérale Accelerates Deployment of Generative AI

Banking solutions and financial products

watsonx Assistant

Meet customer expectations consistently and intelligently with cutting-edge, conversational AI

Financial services consulting

Enlist IBM expertise to modernize digital core systems for banking

Hybrid cloud

Generate new levels of efficiency while increasing capacity and productivity with application resource management on a hybrid cloud

IBM Storage FlashSystem

Improve resiliency, response, data management and operational efficiency with a cloud-based storage

IBM Z

Explore mainframe application modernization solutions that modernize simply, using generative AI

Cybersecurity

Protect on-premises and cloud investments, manage financial risk and secure data across environments

Case studies Bradesco

Creating a secure and innovative online banking experience using IBM® Z™ and IBM® Storage™ systems 

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Crédit Mutuel

Expert service, 60% faster: Building upon Crédit Mutuel's strength in customer service with IBM Watson

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NatWest

Reimagining a personalized, digital experience in banking to boost customer satisfaction.

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HSBC

Using AI to identify potential high-growth stocks

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Ikano Group

Charting a path to meet sustainability goals using Envizi ESG Suite’s reporting data governance and workflow tools

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Crédit Agricole Group

Implementing a SaaS analytical solution to better manage IT expenses

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Trends in banking technology
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