Machine Learning

Top 10 Risks Associated with Using Artificial Intelligence

Lack of transparency and interpretability: Some AI systems, particularly those using complex machine learning algorithms, can be difficult to interpret and understand, making it difficult to determine how they arrived at a particular decision or prediction. This lack of transparency can be a problem in fields like healthcare, finance, and criminal justice, where important decisions …

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How Can Businesses Leverage Machine Learning in Their Digital Marketing

There are several ways that businesses can leverage machine learning in their digital marketing efforts: Improving the targeting of advertising: Machine learning algorithms can be used to analyze customer data and identify patterns that can be used to target advertising more effectively. For example, an algorithm could be trained to identify customers who are likely …

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Generative AI & Its Applications

Generative AI refers to a type of artificial intelligence that is focused on generating new content, rather than simply recognizing and classifying existing content. This can involve generating images, videos, text, or other types of data that are indistinguishable from real-world examples. Generative AI algorithms typically use deep learning techniques, such as generative adversarial networks …

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Top 10 Artificial Intelligence Researchers to Follow in 2022

1. Allie K. Miller Top AI entrepreneur, advisor, and investor, she was the global head of machine learning business development for startups and venture capital for Amazon Web Services. She was also the youngest-ever woman to build an AI product at IBM—spearheading product development across computer vision, conversation, data, and regulation for thousands of companies. …

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