Applications of Artificial Intelligence In Banking Q1 2022

114 Pages

Artificial Intelligence has the potential to transform legacy processes into flexible, scalable, future-agnostic functions.

This report outlines the evolution of artificial intelligence and the many sub-technologies it comprises, before taking a deep dive into the current market landscape with key drivers, challenges, and benefits, while suggesting methods for mitigation of challenges. The report maps the present and future of artificial intelligence in banking through live cases and a complete vendor landscape, and emerging application areas, trends, and incoming regulation.

The Applications of Artificial Intelligence in Banking report is a thorough roadmap for stakeholders, supporting the development of individual approach strategies to achieving industry leadership.

  • Overview of AI market landscape, discussing evolution, related technologies, drivers of adoption, challenges, and benefits.
  • Gain insight into emerging application areas, future trends, and incoming regulation.
  • Deep dive into 10+ application areas across the front, middle, and back offices, including chatbots, cross-sell optimization, and fraud detection, supplemented by relevant case examples.
  • Bird’s eye view of the AI supplier market landscape consisting of key vendors and collaborations.
  • Outlook on AI as a must-have capability.

  • Understand the market landscape and key suppliers of Artificial Intelligence specialized in the banking sector
  • Gauge on the benefits of Artificial Intelligence across the front, back, and middle office functions
  • Key considerations for banks before deploying AI covering the design of algorithms, ownership of data, automation of processes, etc. have been showcased
  • Deep dive into the different types of AI deployment models such as On-Premises, AI as a Service, Managed AI, and Cognition
  • Industry advised strategies and pitfalls to watch out for when deploying Artificial Intelligence

  • Financial Institutions – CIOs, CTOs, IT, and digital transformation teams rely on our research to make the right technology selection and investment decisions.
  • Financial Technology Companies – Founders, CXOs, product and strategy teams, use our research to stay competitively intelligent, keeping a close track of peer activity and trends globally.
  • Consulting Firms – Research leaders and client consulting teams find this report useful to gain insights, spot opportunities, and provide clients with fact-based metrics.
  • Institutional Investors – Investment teams find this report useful whilst conducting thorough business and financial due diligence prior to making investment decisions.

  • Section 1: AI in Banking | Market Landscape
  • The Evolution of AI
    • Key Technologies
    • Drivers of Adoption
      • Need for Proactive Customer Service
      • Excessive Time to Resolution
      • Need for Consistency of Service Across Touchpoints
    • Challenges in Adoption
      • Culture and Talent
      • Infrastructure
      • Cost
      • Proof of Concept
    • Mitigating Barriers to Adoption
      • Internal Governance
      • Stepped Transformation
      • Benefits of Adoption
      • Improved Customer Base
      • Predicting Future Trends
      • Cognitive Process Automation
    • Emerging Application Areas
      • AIOps
      • Self-Driving Finance
    • Future Trends
      • Increased Use of Synthetic Datasets
      • Quantum Computing
      • The Rise of Ethical AI
      • Regulation of AI
      • Increased Application of AI for Risk Assessment
    • o Key Government Regulations/Initiatives
      • Europe
      • United Kingdom
      • United States of America
  • Section 2: AI in Banking
    • AI Across the Banking Value Chain
      • Key Application Areas
      • Front Office Applications
      • Middle Office Applications
      • Back Office Operations
      • Insurance
  • Section 3: Use Cases
    • Royal Bank of Scotland | IBM
    • Royal Bank of Canada | Personetics
    • JP Morgan
    • BNY Mellon | BluePrism
    • NatWest | Vocalink Analytics
    • BankMobile | Upstart
    • Leading Indian Bank | vPhrase
    • JP Morgan | Limeglass
    • OakNorth Bank | OakNorth
    • Royal Bank of Scotland | IBM
    • HSBC
    • Banco Santander | Boost.ai
    • Barclays | Kount
    • UBS
    • ING Direct | Expert.ai
    • Barclays | Simudyne
    • CaixaBank
    • NatWest | DreamQuark
  • Section 4: Vendor Landscape
    • IBM Watson
    • Tata Consultancy Services
    • Infosys
    • Personetics
    • Kasisto
    • Ayasdi
    • Intellect Design Arena
    • Feedzai
    • CognitiveScale
    • Active.Ai
    • Logical Glue
    • OakNorth Analytical Intelligenc
    • DataVisor
    • Socure
    • Zest AI
    • TrueAccord
    • SUPLARI
    • Capital Float
    • DataRobot
    • AlphaSense
    • AlpacaJapan Co., Ltd
  • Section 5: Outlook

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