As the complexity of data analysis increases, preemptive vs. reactionary capabilities become paramount. Data anomaly detection can help.
AI and technology
Human-centric AI for anomaly detection is designed to use human input to help support and scale financial risk discovery objectives.
Anomaly detection is a powerful technique for detecting fraudulent transactions and behaviors, thanks to financial institutions’ ever-increasing amounts of data.
This webinar will provide a pathway to enable use of the best technologies and procedures necessary to reduce the overall risk of fraud.
The audit industry has seen a bit of a shakeup in the past few years. New technologies, regulator crackdowns, big firms acquiring and merging, and a general push for improved processes and a review of age-old standards are all signs of new things on the horizon for our industry. But while there was a lot
ISA 315 (revised) and Data Analytics: Risk assessment procedures reimagined The revised standard has been published as of December 2020, and you might be wondering what impact it has on your firm’s risk assessment procedures and how you can address the requirements. There are many useful sources of information on the changes, notably the IAASB’s
The audit landscape is changing. Read Marco Bogendörfer’s interview with tax consultant and auditor, Stephen McIntosh, about where it’s all going.
Data analysis is a necessary skill for accountants. Are you ready for it? Find out what it takes, and what tech can help you along the way.