The AI revolution is here. Machine learning (ML) and artificial intelligence are used in virtually every industry today to revolutionize everything from reducing food waste to achieving better health outcomes. In all, IDC forecasts that global enterprise spending on AI will eclipse $204 billion by 2025.
Unfortunately, investments in needed infrastructure may not be keeping pace. Many enterprises are shipping AI blind or relying on outdated model monitoring approaches to catch issues with models in production.
In order to understand the scope of the problem and provide insights on potential solutions, Arize AI recently conducted a survey of 945 data scientists, engineers, executives, and others in the industry. The results speak to a distinct need for better tools to quickly visualize where and why problems are emerging and enable faster root cause analysis when models fail.
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