Applications of Artificial Intelligence In Banking Q4 2022: Need for Consistency of Service Across Touchpoints Drives Adoption
Dublin, March 10, 2023 (GLOBE NEWSWIRE) -- The "Applications of Artificial Intelligence In Banking Q4 2022" report has been added to ResearchAndMarkets.com's offering.
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.
Report highlights
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.
25+ use cases of AI applications in banks and 20+ profiles of vendors and their AI-based offerings.
Outlook on AI as a must have capability.
Why subscribe?
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
Who finds this report useful?
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
Key Topics Covered:
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
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
Societe Generale | Nephelai
NatWest | IBM
Belfius | Sinch
BNP Paribas | Personetics
TSB Bank | IBM Watson
Banco Sabadell | Onfido
Clydesdale Bank | Inhouse Development
N26 | Rasa
Groupe BPCE | Prevision.io
Lloyds Banking Group | Inhouse Development
Section 4: Vendor Landscape
IBM Watson
Tata Consultancy Services
Infosys
Personetics
Kasisto
Ayasdi
Intellect Design Arena
Feedzai
CognitiveScale
Active.Ai
Logical Glue
OakNorth Analytical Intelligence
DataVisor
Socure
Zest AI
TrueAccord
SUPLARI
Capital Float
DataRobot
AlphaSense
AlpacaJapan Co., Ltd
Cuelebre
Spire Technologies
Section 5: Outlook
Companies Mentioned
Active.Ai
AlpacaJapan Co., Ltd
AlphaSense
Ayasdi
Banco Sabadell
Banco Santander
BankMobile
Barclays
Belfius
BluePrism
BNP Paribas
BNY Mellon
Boost.ai
CaixaBank
Capital Float
Clydesdale Bank
CognitiveScale
Cuelebre
DataRobot
DataVisor
DreamQuark
Expert.ai
Feedzai
Groupe BPCE
HSBC
IBM
IBM Watson
Infosys
ING Direct
Inhouse Development
Intellect Design Arena
JP Morgan
Kasisto
Kount
Leading Indian Bank
Limeglass
Lloyds Banking Group
Logical Glue
N26
NatWest
Nephelai
OakNorth
OakNorth Analytical Intelligence
OakNorth Bank
Onfido
Personetics
Prevision.io
Rasa
Royal Bank of Canada
Royal Bank of Scotland
Simudyne
Sinch
Societe Generale
Socure
Spire Technologies
SUPLARI
Tata Consultancy Services
TrueAccord
TSB Bank
UBS
Upstart
Vocalink Analytics
vPhrase
Zest AI
For more information about this report visit https://www.researchandmarkets.com/r/ina15g
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