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Ensuring Data and Infrastructure for AI/ML Initiatives

Best for: Data Scientist, Machine Learning Engineer, Data Engineer, Infrastructure Architect, IT Manager.

Businesses embracing AI and machine learning (AI/ML) face a paramount challenge: ensuring they possess the requisite data and infrastructure to fuel these initiatives. This prompt unpacks the key considerations for businesses embarking on AI/ML journeys. It provides practical guidance on acquiring, managing, and utilizing data, as well as building and maintaining robust infrastructure that empowers AI/ML models to thrive. By addressing these foundational aspects, businesses can lay the groundwork for successful and impactful AI/ML initiatives.

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Establish data infrastructure, collect relevant data, ensure data quality, invest in training and upskilling, leverage cloud computing


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