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摘要: Moving data science into production has quite a few similarities to deploying an application. But there are key differences you shouldn’t overlook.

摘要: The success or failure of AI initiatives has more to do with people than with technology. If you want to put AI into practice in a way that improves business outcomes, you must avoid these 6 mistakes.

摘要: The world has come to rely on data. Data-driven analytics fuel marketing strategies, supply chain operations, and more, and often to impressive results. However, without careful attention to data accuracy, these analytics can steer businesses in the wrong direction.

摘要: The metaverse has arrived. Here's what CIOs need to know about it -- from business use cases, to risks, to vendor offerings from companies such as Microsoft, Nvidia, and Facebook.

摘要: In 2010, the Affordable Care Act ushered in a new era for Medicaid Modularity, an approach anchored by breaking down large, monolith systems into smaller, more nimble and self-contained modules that can de-risk healthcare delivery and unlock innovation. More broadly, Medicaid Modularity is about improving states’ Medicaid Management Information Systems (MMIS).

摘要: Data science toil saps agility and prevents organizations from scaling data science efforts efficiently and sustainably. Here’s how to avoid it.

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