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Plotting the journey to generative AI adoption in the contact centre

Connect

The application of artificial intelligence (AI) in the contact centre is a rapidly rising trend. All the hype around AI today stems from the rapid developments and widespread adoption of the next iterative advancement in AI technology, namely generative or GenAI. Find out how we can help your business communicate better.

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Live Meeting Assistant with Amazon Transcribe, Amazon Bedrock, and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Prerequisites You need to have an AWS account and an AWS Identity and Access Management (IAM) role and user with permissions to create and manage the necessary resources and components for this application. If you don’t have an AWS account, see How do I create and activate a new Amazon Web Services account?

APIs 108
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Industry-Specific Web Development: HealthTech, FinTech and More

CSM Magazine

Modern web development is an important cornerstone of industry-specific importance with which companies design competitive advantages in their fields. Discover more about services by IT Craft that can help your business thrive in the digital age: [link].

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

AWS Machine Learning

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

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

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. 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.

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Improve LLM performance with human and AI feedback on Amazon SageMaker for Amazon Engineering

AWS Machine Learning

The solution uses Amazon SageMaker JumpStart as the core service for model deployment, fine-tuning, and reinforcement learning. The engineers accessed the pilot system through a web application developed by Streamlit , connected with the RAG pipeline.

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Accenture creates a regulatory document authoring solution using AWS generative AI services

AWS Machine Learning

A key part of the submission process is authoring regulatory documents like the Common Technical Document (CTD), a comprehensive standard formatted document for submitting applications, amendments, supplements, and reports to the FDA. The React application uses the Amplify authentication library to detect whether the user is authenticated.

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The Challenges of Omnichannel: Why so Many Contact Centers Struggle with Digital Self-Service

To find how contact centers are navigating the transition to omnichannel customer service, Calabrio surveyed more than 1,000 marketing and customer experience leaders in the U.S. about their digital customer communication strategies. Read the report to find out what was uncovered.