Focus will be on additional analytics and more fraud automation.

BFSI have the most superior capabilities in fraud management–in speed of detection, accuracy, and contextualization.

Spurt in digital activity in the recent past has initiated investment in new technologies (i.e., robotics, AI, machine learning, biometrics) for better fraud detection and improved contextual marketing. The industry is working in collaboration with third-party agencies on alternative data sources, and is open to work with fintech companies.

BFSI seeks to increase consumer trust by investing in data quality and data management issues, and in new technologies (e.g., AI, biometrics).

The rapid deployment of fiber to the home and LTE mobile broadband is accelerating the need for customer analytics and collections and fraud management by telcos; retailers are most concerned about employee fraud, because ofiine is a larger sales channel.

Companies are generally weak in fraud management, but could be influenced by customers being more tolerant of fraud.

Spurt in digital activity in the recent past has initiated investment in new technologies (i.e., robotics, AI, machine learning, biometrics) for better fraud detection and improved contextual marketing. The industry is working in collaboration with third-party agencies on alternative data sources, and is open to work with fintech companies.

Majority of companies realize that they have moderate capabilities in fraud detection.

Companies have moderate capabilities in fraud detection, but majority believe that improvements are required in areas of fraud resolution for better assistance to victims of fraud as consumers increasingly face more fraud risks.