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Generative AI’s change management challenge

CIO Business Intelligence

Although ChatGPT, the poster child for generative AI applications, only launched in November 2022, already 26% of workers say they use generative AI several times a week, while 46% have experimented with it at least once, BCG found. For many, their feelings are based on sound experience. This is a massive number,” Bellefonds said. “We

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Demystifying AI: A Guide to Understanding and Leveraging Artificial Intelligence

Eric D. Brown

But to harness these benefits, we must first demystify AI, peeling back the layers to understand its mechanisms, applications, and how it can be integrated into your business model for tangible results. This learning process from data allows machines to perform tasks without being explicitly programmed for every possible scenario.

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What is data governance? Best practices for managing data assets

CIO Business Intelligence

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. The program must introduce and support standardization of enterprise data.

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Demystifying AI: A Guide to Understanding and Leveraging Artificial Intelligence

Eric D. Brown

But to harness these benefits, we must first demystify AI, peeling back the layers to understand its mechanisms, applications, and how it can be integrated into your business model for tangible results. This learning process from data allows machines to perform tasks without being explicitly programmed for every possible scenario.

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Chief AI officers in demand as IT leaders expect gen AI productivity boost, survey finds

CIO Business Intelligence

Content generation is another key use case for gen AI, cited by 55% of respondents, with industry-specific applications (48%), data augmentation (46%), and personalized recommendations (39%) rounding out the top five.

Survey 132
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AI has many obstacles in its way

Dataconomy

Moreover, AI has found extensive application across diverse real-world scenarios, further contributing to its trending status. This can result in high infrastructure costs, especially for resource-intensive AI applications. Collaborating with IT professionals and change management experts can help streamline the integration process.