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What is Call Center Compliance?

NobelBiz

In this comprehensive article, we delve into the details of call center compliance , exploring its significance, the laws and regulations governing it, common mistakes to avoid, and best practices for ensuring adherence. Seamlessly integrate proprietary or third-party CRM applications with our extensive APIs and data dictionary libraries.

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Generate customized, compliant application IaC scripts for AWS Landing Zone using Amazon Bedrock

AWS Machine Learning

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon with a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning

Amazon SageMaker provides purpose-built tools for machine learning operations (MLOps) to help automate and standardize processes across the ML lifecycle. All these capabilities are built to help multiple lines of business innovate with speed and agility while governing at scale with central controls.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

Consider your security posture, governance, and operational excellence when assessing overall readiness to develop generative AI with LLMs and your organizational resiliency to any potential impacts. Many AWS customers align to industry standard frameworks, such as the NIST Cybersecurity Framework.

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Best practices to build generative AI applications on AWS

AWS Machine Learning

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon via a single API. This improves efficiency and allows larger contexts to be used. This supports safer adoption.

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Your guide to generative AI and ML at AWS re:Invent 2023

AWS Machine Learning

Also learn how prompts can be integrated with your architecture and how to use API parameters for tuning the model parameters using Amazon Bedrock. This chalk talk provides an introduction to best practices for risk assessment related to fairness, robustness, explainability, privacy and security, transparency, and governance.