AI in Financial Services, 2017-2021: Technologies, Applications, Implementation, Leading Players

Dublin, March 09, 2020 (GLOBE NEWSWIRE) — The “Artificial Intelligence: Technology, Applications and Implementation for Financial Services” report has been added to ResearchAndMarkets.com’s offering.
Artificial Intelligence adoption by financial services will be helped by a combination of improving technologies, increased user acceptance/adoption as well as standards and regulatory frameworks that are becoming more attuned to the specific risks and opportunities presented by biometric technologies.Companies Mentioned
AeyeAIBrainAlphaSenseAmazonAnkiAppZenAXA Life InsuranceBasler VersicherungenBank of AmericaBlue River TechBNP ParibasCasetextCredit KarmaCitiBankClarifaiCloudMindsCognitiveScaleDataRobotDataVisorDeepmindFreenomeGoldman SachsGoogleGraphcoreH2OHiSiliconIBMiCarbonXI Know FirstINGIntelIris AIJPMorgan ChaseLendingClub’sLloyds Banking GroupLobsterMan AHLMetroMileMicrosoftNarrative ScienceNautoNeuralaNext ITNvidia CorporationNumeraiOmron Adept TechnologiesOneModelOpenAIOrbital InsightPayPal’sPhraseePNB MetLifePointrQualcommRBC Capital MarketsSalesforceSenSatSherpaSiemensSift ScienceTamrTempusTencentThe Allstate CorporationThe Bank of New York MellonThe Progressive CorporationTwilioUBSVersicherungskammer BayernViSenzeX.aiWells FargoZebra Medical VisionZestFinanceZurich UKKey Topics Covered
1 Definitions of Artificial Intelligence
1.1 Artificial Intelligence in Financial Services
1.2 Artificial Intelligence Technologies
1.3 High-Level Artificial Intelligence Technologies Functions
1.4 Cognitive Computing: The Next Level of Intelligence
1.5 Artificial Intelligence Systems2 State of the Industry (Adoption Statistics, any Emerging Patterns)
2.1 Key Market Drivers
2.2 Key Market Restraints
2.3 Surveys
2.4 Artificial Intelligence in Traditional Banking
2.5 Artificial Intelligence in Insurance
2.6 Artificial Intelligence in Fintech
2.7 Artificial Intelligence in Asset Management/Investment Banking3 Framework/Considerations for Use/Evaluation and Implementation
3.1 Artificial Intelligence Framework
3.2 Key Considerations for Building a Responsible AI Framework
3.3 The Challenges of AI
3.4 Artificial Intelligence Development Team
3.5 R & D Strategy for AI Systems Development
3.6 Evaluation4 Artificial Intelligence Standards
4.1 ISO Standards
4.2 IEEE Standards
5 Artificial Intelligence and the Law
5.1 EU Region
5.2 UK Region
5.3 US Region6 The Future of Artificial Intelligence7 Leading Companies Providing Artificial Intelligence ServicesAnnexure
Annex 1: A Brief History of Artificial Intelligence
Annex 2: List of SourcesTable of Exhibits
1. Elements of AI
2. Artificial Intelligence in Financial Services
3. Artificial Intelligence Technologies
4. Cognitive Computing: The Next Level of Intelligence
5. Framework of Artificial Intelligence Framework
6. AI Framework for Anti-Money Laundering (AML) and Financial Fraud Detection
7. AI Framework for Banking Transactions
8. AI Framework for Loan Automation
9. AI Framework for Online Mobile Banking Fraud Detection
10. AI Framework for Portfolio Management
11. Boston Consulting Group (BCG) – Share of Active Players in AI by Country & Industry
12. AI Adoption & Use Survey
13. The adoption rate of Artificial Intelligence by Industry
14. Artificial Intelligence Projected Revenue
15. Projected AI spending by Industry, 2021
16. AI investment and ROI: Relative landscape of industries
17. Forecast of Global AI-Derived Business Value
18. The Impact of AI on Industry Growth
19. The Impact of AI on Profit by Industry
20. Stages of AI implementation
21. Understanding the Investment into AI in Banking, 2017
22. Digital Banking Report, 2017
23. Most Impactful Trends in the Fintech Industry
24. Artificial Intelligence in Traditional Banking
25. Artificial Intelligence in Asset Management/Investment Banking
26. Artificial Intelligence Framework
27. Sample of an artificial intelligence system framework
28. Key Considerations for Building a Responsible AI Framework
29. The Challenges of AI
30. Artificial Intelligence Development Team
31. R&D Strategy for AI Systems DevelopmentFor more information about this report visit https://www.researchandmarkets.com/r/eiu363Research and Markets also offers Custom Research services providing focused, comprehensive and tailored research.CONTACT: ResearchAndMarkets.com
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