AI is long past the days of being regarded as a novel business tool and today is a part of every company’s playbook. The implementation of AI and analytics in data-driven decision making hasn’t gone without its share of controversy.
Still, business leaders push forward in AI implementation for its power in risk management and other industry-specific objectives.
This report provides insight into how business leaders are integrating, governing and securing artificial intelligence and data analytics in meeting internal and customer-facing objectives.

KEY QUESTIONS ANSWERED:

What steps are financial services firms taking in data access, management and integration efforts to stay competitive in their respective industries?

What business functions are companies devoting AI and ML tools to?

Where do financial services put fraud detection and risk management as it relates to their AI and ML priorities?

What role is the struggle for talent playing in AI and ML implementation?

What are the biggest roadblocks to implementing artificial intelligence?