Remove Government Remove Innovation Remove Management
article thumbnail

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

AWS Machine Learning

To maintain their competitive edge, organizations are constantly seeking ways to accelerate cloud adoption, streamline processes, and drive innovation. Readers will learn the key design decisions, benefits achieved, and lessons learned from Hearst’s innovative CCoE team. This post is co-written with Steven Craig from Hearst.

article thumbnail

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. The data mesh is a modern approach to data management that decentralizes data ownership and treats data as a product.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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.

article thumbnail

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.

article thumbnail

Customer Experience Management: Optimizing Your Strategy for Financial Success

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

To gain buy-in from the C-Suite and key stakeholders, it’s crucial to illustrate how Experience Management translates into clear, measurable business results. Transforming customer engagement, Voice of Customer (VoC) insights, and Journey Maps into tangible financial outcomes poses a significant challenge for most organizations.

article thumbnail

Improving Government CX – The Fundamental Building Blocks for Success

Comm100

There’s no way to sugarcoat this – government customer experience (CX) is miles behind the private sector. When calculating customer satisfaction across major industries in 6 countries, government is the bottom-performing industry in each country. There are many reasons for this, some of which excuse government underperformance.

article thumbnail

Data Governance in the Age of AI: A Competitive Edge for Business Leaders

COPC

As information floods the business world, leaders strive to gain a competitive edge—seeking ways to make smarter choices, manage risk, and drive sustainable growth. 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.

article thumbnail

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

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. 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.