Solutions for Uncovering and Addressing Algorithmic Biases with AIOps (Business Opportunities - Marketing & Sales)
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Item ID 2436589 in Category: Business Opportunities - Marketing & Sales
Solutions for Uncovering and Addressing Algorithmic Biases with AIOps | |
The business world is increasingly turning to artificial intelligence (AI) systems and machine learning (ML) algorithms to automate complex and simple decision-making processes. Thus, to break through the paradigm in the field of IT operations, IT professionals and top managers started opting for AIOps platforms, tools, and software, as they promised to streamline, optimize, and automate numerous tasks quickly and efficiently. Also You May Interested: Best AIOps Solutions to Digitally Transform SMBs and SMEs However, there are a few shortcomings, like algorithmic bias, that have been a major concern for IT professionals and other employees in the company. 1. Key Technologies in Addressing Algorithmic Biases With the use of cutting-edge AIOps technologies, IT professionals can understand and explore the algorithmic biases in the system. Thus, here are a few key technologies that will help you detect such issues: 1.1. Time Series Analysis When having abundant data, time series analysis emerges as a crucial tool in AIOps as it records data over time by tracking users’ behavior, network activity, and system performance. Algorithms should represent temporal dependencies, trends, and seasonality to detect biases effectively. AIOps uses a time series analysis method that includes autoregressive  | |
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| Target State: California Target City : california Last Update : Nov 07, 2023 2:49 AM Number of Views: 55 | Item Owner : markcube Contact Email: Contact Phone: (None) |
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2024-05-02 (0.472 sec)