Remove APIs Remove industry standards Remove Scripts Remove Technology
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A Comprehensive Guide to Virtual Call Center and Contact Centers

Hodusoft

Virtual call centers leverage cloud-based technology to enable remote agents to handle customer inquiries from anywhere in the world. As communication technology continued to evolve, customers began using various channels (such as voice calls, video calls, email, live chat, social media, and messaging apps) to interact with businesses.

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Your Customers Are Talking, But Are You Listening?

Call Journey

Until recently, the industry standard for reviewing calls coming through a contact center oscillated below 2%. The trend of integrating voice-based technology into voice of the customer programs will only strengthen in the upcoming quarters. Agent Script Adherence. Temkin quote. The name of the game is integration.

Scripts 45
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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

As your organization advances its use of emerging technologies such as generative AI and LLMs, overall organizational resiliency should be considered as a cornerstone of a layered defensive strategy to protect assets and lines of business from unintended consequences.

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Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Here are some features which we will cover: AWS CloudFormation support Private network policies for Amazon OpenSearch Serverless Multiple S3 buckets as data sources Service Quotas support Hybrid search, metadata filters, custom prompts for the RetreiveAndGenerate API, and maximum number of retrievals.

APIs 105
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What is Call Center Compliance?

NobelBiz

call centers that handle patient information on behalf of healthcare providers and organizations are obligated to comply with the Health Insurance Portability and Accountability Act (HIPAA) that sets standards for the security and privacy of sensitive patient health information. HIPAA Regulations: In the U.S.,

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Gemma is now available in Amazon SageMaker JumpStart 

AWS Machine Learning

Gemma model Gemma is a family of lightweight, state-of-the-art models built from the same research and technology used to create the Gemini models. The `if __name__ == "__main__"` block checks if the script is being run directly or imported. Compare the model’s performance to benchmarks and industry standards.

Benchmark 108
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Best practices to build generative AI applications on AWS

AWS Machine Learning

Generative AI with AWS The emergence of FMs is creating both opportunities and challenges for organizations looking to use these technologies. More and more customers are building their own FMs using SageMaker, including Stability AI, AI21 Labs, Hugging Face, Perplexity AI, Hippocratic AI, LG AI Research, and Technology Innovation Institute.