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Decoding the EU AI Act: What it Means for Financial Services Firms | Blog

Everest Group

However, this unprecedented growth has also raised concerns about the potential risks associated with the unchecked use of AI, prompting the need for regulations to ensure the responsible development and deployment of these powerful technologies.

Service 63
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Market Recommendations for Global Payroll in 2023

Immedus

The report notes that, ultimately, application leaders must “balance hyper-automation, integration, emerging technology trends, and risk management” in their selection process. At the same time, payroll administration software vendors are increasingly taking the inverse approach by expanding their managed service options.

Payroll 52
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How to build a successful risk mitigation strategy

IBM Services

In the assessment phase you will measure each risk against one another and analyze the occurrence of each risk. You will also analyze the degree of negative impact the organization would face if the risk were to occur for risks such as cybersecurity or operational risks.

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Machine Learning in Fintech: Top 5 Uses & Overview

Vilmate

Here are only a few instances of ML and AI applications in financial services: Risk management. Asset management. Service personalization. From cybersecurity to customer care, AI appliances manage to enhance financial operating systems both from developers’ and consumers’ points of view.

Banking 52
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Market Direction For Payroll Technology Transformation

Immedus

Risk Management And Cybersecurity Global payroll providers can centralize and streamline data by moving it onto the cloud. Many countries have their own set of regulations as to how payroll teams must handle sensitive data like income, ID numbers, and addresses.

Payroll 52