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Improve governance of models with Amazon SageMaker unified Model Cards and Model Registry

AWS Machine Learning

You can now register machine learning (ML) models in Amazon SageMaker Model Registry with Amazon SageMaker Model Cards , making it straightforward to manage governance information for specific model versions directly in SageMaker Model Registry in just a few clicks.

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Crafting and Cascading a Customer Experience Strategy Across Global Organizations

eglobalis

Data analytics is critical for processing vast amounts of information to uncover patterns and actionable insights. Organizations such as Google, Netflix, and Spotify excel in leveraging data analytics to enhance user experiences and personalize offerings. Companies like HSBC in Europe and Toyota in APAC excel in this area.

Strategy 369
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Designing and Rolling Out a Global Customer Experience Strategy

ECXO

Data Analytics : Processing vast amounts of information to uncover patterns and actionable insights. Companies like Apple, Hulu, and Pandora excel in leveraging data analytics to enhance user experiences and personalize offerings. Standardized performance metrics, tailored to account for regional differences, ensure accountability.

Strategy 372
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Data Governance in the Age of AI: A Competitive Edge for Business Leaders

COPC

But here’s the reality: none of that happens without reliable data governance. However, the surge in AI adoption means governance frameworks must adapt to keep pace. Data governance is necessary to maintain these models’ reliability and meet internal and regulatory guidelines. Meanwhile, active data enables agility.

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Boost post-call analytics with Amazon Q in QuickSight

AWS Machine Learning

Post Call Analytics (PCA) is a solution that does most of the heavy lifting associated with providing an end-to-end solution that can process call recordings from your existing contact center. These capabilities can significantly enhance your post-call analytics workflow, making it easier to derive insights from your contact center data.

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Unlock the power of data governance and no-code machine learning with Amazon SageMaker Canvas and Amazon DataZone

AWS Machine Learning

Amazon DataZone is a data management service that makes it quick and convenient to catalog, discover, share, and govern data stored in AWS, on-premises, and third-party sources. However, ML governance plays a key role to make sure the data used in these models is accurate, secure, and reliable. For Select a data source , choose Athena.

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Effective real-time marketing

ECXO

Making the most of customer data by using analytics to better understand who your customers are (and what they want) can help you create better real-time customer experiences. Almost 75 percent have increased spending on real-time customer analytics. Only 22 percent of those surveyed say they are effective in using analytics and data.

Marketing 397