Remove Accountability Remove Government Remove Personalization
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How Government (and Any Business) Can Transform Customer Experience with Gabriele Masili

ShepHyken

How can personalization contribute to better engagement? Trust is essential when dealing with government services. When people trust their government, they have better experiences. Trust can be built by engaging constituents and personalizing services to meet their needs. Why is it important to get feedback in real time?

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Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

AWS Machine Learning

This post is part of an ongoing series about governing the machine learning (ML) lifecycle at scale. This post dives deep into how to set up data governance at scale using Amazon DataZone for the data mesh. However, as data volumes and complexity continue to grow, effective data governance becomes a critical challenge.

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Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning

We recently announced the general availability of cross-account sharing of Amazon SageMaker Model Registry using AWS Resource Access Manager (AWS RAM) , making it easier to securely share and discover machine learning (ML) models across your AWS accounts. Human oversight : Including human involvement in AI decision-making processes.

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6 Reasons Why Data Governance Services Are Essential for Fraud Prevention in Finance

CSM Magazine

From cybercriminals breaching payment systems to internal bad actors manipulating data for personal gain, the array of threats facing financial institutions has become both widespread and increasingly sophisticated. In this high-stakes environment, data governance services stand out as a vital pillar of protection.

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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning

We also dive deeper into access patterns, governance, responsible AI, observability, and common solution designs like Retrieval Augmented Generation. Some applications may need to access data with personal identifiable information (PII) while others may rely on noncritical data.

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Generative AI operating models in enterprise organizations with Amazon Bedrock

AWS Machine Learning

Intelligent document processing , translation and summarization, flexible and insightful responses for customer support agents, personalized marketing content, and image and code generation are a few use cases using generative AI that organizations are rolling out in production.