As fraud attempts continue to rise, data and advanced analytics are at the center of efforts by banks to prioritize faster detection. The increased digitalization of commerce has made it easier for ...

The bibliometric analysis identified four major thematic clusters: machine learning for fraud detection, artificial ...

DoD promised to deliver an anti-fraud strategy by the end of July and make data analytics a top priority within that plan.

The project studies the potential of transaction analytics in spotting financial crime within real-time retail payment ...

explained how his team successfully used advanced data analytics to reduce fraud incidents by 25%, offering a practical approach to fraud detection in the financial services industry.

When using using generative AI to enhance data analytics ... Integrating GenAI and predictive analytics into fraud detection strategies guarantees ongoing progress and strong resistance against ...

Conclusion: Integrating geolocation data into fraud detection is a major leap forward in data analytics. With effective data engineering, organizations can quickly collect, process, and analyze ...

The integration of AI, machine learning, and big data analytics has significantly improved the speed and accuracy of fraud detection, while the shift toward digital healthcare, including ...

March 26, 2025 /PRNewswire/ -- A new report from Conning, 2025 Workers' Comp Study: Using Data & AI ... integration of AI and advanced data analytics into fraud detection processes is a game ...