Remove 2024 Remove APIs Remove Chatbots
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Principal Financial Group uses QnABot on AWS and Amazon Q Business to enhance workforce productivity with generative AI

AWS Machine Learning

In business for 145 years, Principal is helping approximately 64 million customers (as of Q2, 2024) plan, protect, invest, and retire, while working to support the communities where it does business and build a diverse, inclusive workforce. The chatbot improved access to enterprise data and increased productivity across the organization.

Chatbots 115
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From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 2

AWS Machine Learning

A chatbot enables field engineers to quickly access relevant information, troubleshoot issues more effectively, and share knowledge across the organization. An alternative approach to routing is to use the native tool use capability (also known as function calling) available within the Bedrock Converse API.

APIs 116
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Your guide to generative AI and ML at AWS re:Invent 2024

AWS Machine Learning

Seamlessly bring your fine-tuned models into a fully managed, serverless environment, and use the Amazon Bedrock standardized API and features like Amazon Bedrock Agents and Amazon Bedrock Knowledge Bases to accelerate generative AI application development.

APIs 91
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How AWS sales uses Amazon Q Business for customer engagement

AWS Machine Learning

Introducing Field Advisor In April 2024, we launched our AI sales assistant, which we call Field Advisor, making it available to AWS employees in the Sales, Marketing, and Global Services organization, powered by Amazon Q Business. We deliver our chatbot experience through a custom web frontend, as well as through a Slack application.

Sales 95
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Build your gen AI–based text-to-SQL application using RAG, powered by Amazon Bedrock (Claude 3 Sonnet and Amazon Titan for embedding)

AWS Machine Learning

Solution overview This solution is primarily based on the following services: Foundational model We use Anthropics Claude 3.5 Sonnet on Amazon Bedrock as our LLM to generate SQL queries for user inputs. You can limit the number of output tokens to optimize the cost: # Create a Boto3 client for Bedrock Runtime bedrock_runtime = boto3.client(

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How Formula 1® uses generative AI to accelerate race-day issue resolution

AWS Machine Learning

During these live events, F1 IT engineers must triage critical issues across its services, such as network degradation to one of its APIs. This impacts downstream services that consume data from the API, including products such as F1 TV, which offer live and on-demand coverage of every race as well as real-time telemetry.

APIs 71
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Innovate or Stagnate: Top 4 Customer Service Trends for 2024

Comm100

This blog will delve into the top four customer service trends that are expected to take center stage in 2024. The economic potential of generative AI: The next productivity frontier Of all the customer service trends for 2024, the advent of Generative AI is likely to have the greatest impact.