Scott Koegler

Scott Koegler

Scott Koegler is Executive Editor for PMG360. He is a technology writer and editor with 20+ years experience delivering high value content to readers and publishers. 

Find his portfolio here and his personal bio here

The Ethical Considerations of AI and its Potential Impact on Society

As artificial intelligence (AI) continues to advance and become more prevalent in our daily lives, it is important to consider the ethical implications of this technology. While AI can transform society in many ways, it is important to consider both the potential benefits and drawbacks of this technology. This article, therefore, will explore some of the ethical considerations of AI and its potential impact on society.

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Common algorithms and techniques used in AI

Artificial intelligence (AI) is the ability of machines to mimic human intelligence and perform tasks such as learning, problem-solving, and decision-making. AI algorithms are the building blocks of this technology because they are used to process and analyze data, make predictions, and perform tasks. This article will explore the basics of AI algorithms, their importance, and the common techniques used in AI.

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Best practices for training and evaluating AI models  

Training and evaluating artificial intelligence (AI) models can be complex and time-consuming. To maximize the performance of your AI model, it is important to follow best practices for each step of the training and evaluation process. Developing and implementing AI in your business can encounter various challenges resulting in different outcomes. This is why training is one of the most critical aspects, which is equally challenging and can determine the success or failure of your AI project. As such, business leaders and developers need to follow certain processes and practices to help streamline the training process. This article will discuss the best practices for training and evaluating AI models.

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