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State of AI

Published by Appen

This whitepaper provides an in-depth look at the current state of AI and machine learning adoption across industries, highlighting key challenges such as data sourcing, quality management, and model evaluation. It emphasizes the importance of human-in-the-loop machine learning to ensure accurate and responsible AI outputs. The paper also discusses the growing demand for high-quality, diverse data throughout the AI lifecycle, as well as the ethical considerations surrounding AI. With insights from business leaders and technologists, the report underscores the critical role of responsible AI in future innovations.

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Related Categories Artificial Intelligence, AI Ethics, Business & Enterprise Solutions, AI Platforms, AI Integration, AI Strategy, AI Development Tools, AI Deployment, AI Governance, Finance, Supply Chain & Manufacturing, Healthcare, Education

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