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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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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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Three Reasons for Cisco Umbrella for Government

Cisco - Contact Center

Cisco Umbrella for Government up-levels government cybersecurity with protection against phishing, malware, ransomware and data loss from cyberattacks.

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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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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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Unleash the power of generative AI with Amazon Q Business: How CCoEs can scale cloud governance best practices and drive innovation

AWS Machine Learning

This solution can serve as a valuable reference for other organizations looking to scale their cloud governance and enable their CCoE teams to drive greater impact. The challenge: Enabling self-service cloud governance at scale Hearst undertook a comprehensive governance transformation for their Amazon Web Services (AWS) infrastructure.

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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.

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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.