Chief data officers and analytics officers are facing several challenges when it comes to selecting and implementing AI/ML tools to help drive digital transformation efforts and streamline processes. AI/ML tools can help facilitate automation of repetitive tasks, identify patterns in large datasets, and generate accurate predictions and insights to inform business decisions. Marinela Profi, data scientist and analytics product lead at SAS, says to successfully navigate the complexities of AI/ML initiatives and meet business goals, CDO leaders require a range of essential resources such as skilled data science and machine learning experts, access to clean and structured data, a robust IT infrastructure, collaboration tools, analytics platforms, and governance and security policies.
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