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

Manchester City Scores Big with GlobalLogic

Manchester City Scores Big with GlobalLogic

AI and MLBig Data & AnalyticsCloudDigital TransformationExperience DesignMobilitySecurityMedia
Twitter users urged to trigger SARs against energy companies

Twitter users urged to trigger SARs against energy...

Big Data & AnalyticsDigital TransformationInnovation
Retail After COVID-19: How Innovation is Powering the New Normal

Retail After COVID-19: How Innovation is Powering the...

Digital TransformationInsightsConsumer and Retail

Top Authors

Yuriy Yuzifovich

Yuriy Yuzifovich

Chief Technology Officer, AI

Chet Kolley

Chet Kolley

SVP & GM, Medical Technology BU

Amit Handoo

Amit Handoo

Vice President, Client Engagement

Richard Lett

Richard Lett

VP of Healthcare Technology

Top Insights Categories

  • URL copied!