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Security best practices to consider while fine-tuning models in Amazon Bedrock

AWS Machine Learning

In this post, we delve into the essential security best practices that organizations should consider when fine-tuning generative AI models. Implementing these procedures allows you to follow security best practices when you deploy and use your fine-tuned model within Amazon Bedrock for inference tasks. Choose Apply.

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Contact Center Management: Best Practices & Strategies for Peak Performance

Calabrio

Best Practices Contact Center Management: Best Practices & Strategies for Peak Performance Share The modern contact center is no longer seen as a mere service function at the periphery of the business. Instead, todays leaders recognize its central role in fueling and future-proofing enterprise success.

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Best practices to build generative AI applications on AWS

AWS Machine Learning

When applying these approaches, we discuss key considerations around potential hallucination, integration with enterprise data, output quality, and cost. By the end, you will have solid guidelines and a helpful flow chart for determining the best method to develop your own FM-powered applications, grounded in real-life examples.

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Enterprise Contact Center Solutions: A Game Changer

NobelBiz

With the growing customer expectations, enterprises are under great pressure to deliver exceptional service. At the core of this modern transformation lie Enterprise Contact Center Solutions , sophisticated platforms designed to streamline communication, enhance productivity, and drive customer satisfaction.

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Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock

AWS Machine Learning

Large enterprises are building strategies to harness the power of generative AI across their organizations. Because this is an emerging area, best practices, practical guidance, and design patterns are difficult to find in an easily consumable basis. This is illustrated in the following diagram. Where to start?

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Establishing an AI/ML center of excellence

AWS Machine Learning

According to a McKinsey study , across the financial services industry (FSI), generative AI is projected to deliver over $400 billion (5%) of industry revenue in productivity benefits. As maintained by Gartner , more than 80% of enterprises will have AI deployed by 2026.

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25 Call Center Leaders Share the Most Effective Ways to Boost Contact Center Efficiency

Callminer

As Lead for the ShoreGroup Contact Center Advanced Solutions (CCAS) team, Kristian is responsible for the development of ShoreGroup’s Contact Center Best Practices and Deployment Methodologies. Kristian Martell. ShoreGroupInc.