Press release
Artificial Intelligence (AI) in BFSI Market Is Thriving including key players AlphaSense Inc., Brighterion, Inc., IBM Corporation, IPsoft Inc., Infosys Limited, Inbenta Technologies Inc.
natural language processing algorithms that help in customer relationship management, communication, and recruitment & wealth management.
The need to provide better customer support, enhance process automation, and improve decision-making process generates the demand for artificial intelligence in the
BFSI market.
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The global artificial intelligence (ai) in BFSI market is expected to register substantial growth in the near future, attributed to a rapid demand for anti-money laundering
(AML) pattern detector, rapid digitalization in the financial market, and adoption of chatbots in banking and financial services. The need for personalized financial services
and rise in demand for data-driven solutions for imparting decision-making capability further drive the market growth.
However, high initial investment cost, government policy, and regulatory frameworks related to AI are expected to restrict this growth.
The artificial intelligence in BFSI market is segmented on the basis of deployment type, technology, and geography. Based on deployment type, it is bifurcated into cloud
and on-premise. According to the technology, the market is classified into machine learning, natural language processing, image processing & video recognition, cognitive
computing, and others. Geographically, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
Comprehensive competitive analysis and profiles of major market players, such as AlphaSense Inc., Brighterion, Inc., IBM Corporation, IPsoft Inc., Infosys Limited, Inbenta
Technologies Inc., MicroStrategy Incorporated, Google Inc., Microsoft Corporation, and Nvidia Corporation, are provided in this report.
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Artificial Intelligence in BFSI Market Key Segments:
By Deployment Type
• Cloud
• On-premise
By Technology
• Machine Learning
• Natural Language Processing
• Image Processing & Video Recognition
• Cognitive Computing
Chapter: 1 INTRODUCTION
1.1. REPORT DESCRIPTION
1.2. KEY BENEFITS
1.3. KEY MARKET SEGMENTS
1.4. RESEARCH METHODOLOGY
1.4.1. Secondary research
1.4.2. Primary research
1.4.3. Analyst tools & models
Chapter: 2 EXECUTIVE SUMMARY
2.1. CXO PERSPECTIVE
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