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

ShepHyken

Trust is essential when dealing with government services. When people trust their government, they have better experiences. When people feel understood and valued, their trust in the service provider, whether the government or private companies, grows. Plus, G shares how staffing issues affect government service delivery.

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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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Enable Amazon Bedrock cross-Region inference in multi-account environments

AWS Machine Learning

The customers AWS accounts that are allowed to use Amazon Bedrock are under an Organizational Unit (OU) called Sandbox. We want to enable the accounts under the Sandbox OU to use Anthropics Claude 3.5 Use case For our sample use case, we use Regions us-east-1 and us-west-2. Sonnet v2 model using cross-Region inference. MULTISERVICE.PV.1

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

CSM Magazine

In this high-stakes environment, data governance services stand out as a vital pillar of protection. By ensuring data accuracy, integrity, and proper stewardship, data governance frameworks enable organizations to detect and prevent fraudulent activities before they spiral out of control.

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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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5 Top Customer Service Articles of the Week 6-7-2021

ShepHyken

That question has accounted for millions and millions of extra sales. Nextgov) Legislation introduced in the Senate could infuse the federal government with some of the same customer experience principles in use by leading private sector companies. They have to overcome a reputation and work hard to train the government employees.

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Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker

AWS Machine Learning

However, implementing security, data privacy, and governance controls are still key challenges faced by customers when implementing ML workloads at scale. Governing ML lifecycle at scale is a framework to help you build an ML platform with embedded security and governance controls based on industry best practices and enterprise standards.