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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

This streamlines the ML workflows, enables better visibility and governance, and accelerates the adoption of ML models across the organization. Before we dive into the details of the architecture for sharing models, let’s review what use case and model governance is and why it’s needed.

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Govern generative AI in the enterprise with Amazon SageMaker Canvas

AWS Machine Learning

This is crucial for compliance, security, and governance. In this post, we analyze strategies for governing access to Amazon Bedrock and SageMaker JumpStart models from within SageMaker Canvas using AWS Identity and Access Management (IAM) policies. We provide code examples tailored to common enterprise governance scenarios.

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5 Top Customer Service Articles For the Week of October 24, 2016

ShepHyken

3 Tools for Improving the Customer Experience in Government by William D. Government Technology) America’s most successful companies have learned a lot about keeping their customers happy. My Comment: Government and customer service/experience… Can these words be in the same sentence? Eggers and Greg Pellegrino.

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How Government Services Can Provide Better Citizen Satisfaction & Experience

Attention government agencies and BPO partners! With our certifications, we are the perfect partner to help government agencies meet their CX goals and fulfill federal deal requirements. With our certifications, we are the perfect partner to help government agencies meet their CX goals and fulfill federal deal requirements.

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5 Top Customer Service Articles of the Week 6-28-2021

ShepHyken

Can Disney’s Customer Service Model Work in Government? Governing) In the public sector, customer service can easily devolve to “our way or the highway.” My Comment: How would you like the customer service at a government agency to be as good as going to a Disney theme park? by Carl Smith. by Joseph Michelli, Ph.D.

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

ShepHyken

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. My Comment: Anytime I hear that the government is going to focus some efforts on customer service and CX, I get excited.

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How to Overcome the Pain Points of Your CRM

However, as a company, sales stack, and database grow, it becomes difficult to uphold structure and governance to keep a CRM up-to-date. When used effectively, a CRM can be the lifeblood of your sales team – keeping everyone organized, efficient, and at peak productivity. The result? Less organization, more confusion, and fewer deals closed.

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Customer Experience Management: Optimizing Your Strategy for Financial Success

Speaker: Diane Magers, Founder and Chief Experience Officer at Experience Catalysts

You'll walk away knowing how to: DEFINE the most effective CX measures and metrics for your organization MASTER the art and science of quantifying the value of customer experience NAVIGATE common pitfalls in quantifying CX value and gain tips for mitigation ESTABLISH a structured approach to embedding CX benefits into internal processes and governance (..)

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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.