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AI Biometric Authentication for Enterprise Security

Introduction

Biometric authentication technology has been an important industry trend for years, especially in 2021 due to the latest AI innovations available on the market. According to IBM, 20% of breaches are caused by compromised credentials. Worse, it can take an average of 287 days to identify and respond to a data breach.

AI-based security is increasing in usage and will be necessary to remain competitive in any industry. IBM reports that as of 2021, 25% of businesses have completed deployment of AI-based security, while 40% are partially deployed. The remaining 35% have not begun this process, and if your business falls into this category you may be placing your clients at great risk for dangerous data breaches. Investing in AI-based security can save a business up to $3.81 million in 2021.

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GPU for DL: Benefits and Drawbacks of On-Premises vs. Cloud

As technology advances and more organizations are implementing machine learning operations (MLOps), people are looking for ways to speed up processes. This is especially true for organizations working with deep learning (DL) processes which can be incredibly long to run. You can speed up this process by using graphical processing units (GPUs) on-premises or in the cloud.

GPUs are microprocessors that are specially designed to perform specific tasks. These units enable parallel processing of tasks and can be optimized to increase performance in artificial intelligence and deep learning processes.