Machine learning and artificial intelligence are boosting businesses to create automated analytics engines that are capable of powering their way through large data sets, providing information not otherwise available and freeing up data scientists and analysts to work on more projects.
The popularity of AI and machine learning hasn't yet reduced its inherent difficulty. While machine learning is an effective analytics technique when used correctly, there are big obstacles to implementing it and its related approaches, i.e., deep learning and automated chatbots. Such complex analytics applications require in-depth data science skills, heavy amounts of data preparation work and a robust big data infrastructure -- a combination of needs that makes it a challenge for many businesses to begin using AI-based technologies.
Are you knowledgeable enough to take on machine learning and AI in your organization? Find out by taking this quiz -- and discover some helpful articles along the way with insight and advice to help you better understand these technologies and how to succeed with them.
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