Artificial Intelligence in FinTech: Part 2

Categories: AI and MLFinancial Services

As the financial industry continues to expand digitally, the need for machine learning to manage large amounts of data increases. Accessing the necessary benefit and risk analysis requires higher performance than human analysts can accomplish.

How can artificial intelligence be used to analyze market conditions and consumer behavior? In this paper, you’ll learn how AI can gauge investor sentiment using Twitter data, perform risk analysis for loan eligibility, detect credit card default with unsupervised learning, and wrap useful algorithms in the form of chatbots.

Top Insights

Best practices for selecting a software engineering partner

Best practices for selecting a software engineering partner

SecurityDigital TransformationDevOpsCloudMedia
7 RETAIL TRENDS POWERED BY MOBILE

7 RETAIL TRENDS POWERED BY MOBILE

MobilityConsumer and RetailMedia
My Intro to the Amazing Partnership Between the US Paralympics and the Telecom Industry

My Intro to the Amazing Partnership Between the...

Experience DesignPerspectiveCommunicationsMediaTechnology
Adaptive and Intuitive Design: Disrupting Sports Broadcasting

Adaptive and Intuitive Design: Disrupting Sports Broadcasting

Experience DesignSecurityMobilityDigital TransformationCloudBig Data & AnalyticsMedia

Top Authors

Pragya Sharma

Pragya Sharma

Trainee Software Engineer

Rashmi Shrivastava

Rashmi Shrivastava

Senior Manager, Engineering

Praveen Jha & Sumeet Gupta

Praveen Jha & Sumeet Gupta

Principal Architect, Technology & Consultant, Engineering

Chet Kolley

Chet Kolley

SVP & GM, Medical Technology BU

Rahul Vyas

Rahul Vyas

Consultant, Engineering

Blog Categories

  • URL copied!