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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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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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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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B2B Customer Experience Governance

ClearAction

B2B Customer Experience Governance Lynn Hunsaker B2B customer experience governance can generate stronger growth when it’s tied-in to the way that B2B ecosystems work. They may have already discovered customers’ intended outcomes as part of their outcomes-based selling and consultative selling approaches.

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Improve governance of your machine learning models with Amazon SageMaker

AWS Machine Learning

Overview of model governance. Model governance is a framework that gives systematic visibility into model development, validation, and usage. Model governance is applicable across the end-to-end ML workflow, starting from identifying the ML use case to ongoing monitoring of a deployed model through alerts, reports, and dashboards.

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How Human Centered Design Improves the Digital Contact Center Government Experience

Taylor Reach Group

The government will better serve all stakeholders by establishing a focus to oversee the design and implementation of a human-centered design strategy that: identifies and responds to key touch points in a stakeholder’s journey. Now when Jane talks about the government agency she shares her experience. By Rosetta Lue.

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Using Lean Management & Human-centered Design to Improve Government Customer Experience

Taylor Reach Group

Control: Control future process performance (governance through new policies and procedures). Using the problems defined through the human-centered design research will point government in the right direction to which processes it needs to begin to hone it on.