Remove Chatbots Remove Knowledge Base Remove Metrics
article thumbnail

Guest Post: The AI Revolution in Customer and Employee Experience

ShepHyken

He shares how AI is transforming customer and employee experiences by enhancing efficiency, engagement, and satisfaction through generative AI, chatbots, and real-time support. Chatbots and voicebots are making a difference, too. Agent attrition jumped from 21.8% in 2022 to 28.1% in 2023, with a projected increase to 31.2%

Chatbots 167
article thumbnail

Improve AI assistant response accuracy using Knowledge Bases for Amazon Bedrock and a reranking model

AWS Machine Learning

AI chatbots and virtual assistants have become increasingly popular in recent years thanks the breakthroughs of large language models (LLMs). Most common use cases for chatbot assistants focus on a few key areas, including enhancing customer experiences, boosting employee productivity and creativity, or optimizing business processes.

APIs 136
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

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

AWS Machine Learning

As Principal grew, its internal support knowledge base considerably expanded. Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles.

Chatbots 117
article thumbnail

Maximizing Chatbot Effectiveness: The Power of Analytics and Self-Service

Calabrio

Analytics Maximizing Chatbot Effectiveness: The Power of Analytics and Self-Service Share As businesses continue to adopt AI-driven chatbots for customer interactions, the challenge shifts from simply having a chatbot to ensuring it delivers real value. Learn how AI is transforming contact centers to drive cost savings.

article thumbnail

AI-Driven Customer Service Demands Humanized CX

TechSee

At launch, chatbots made a huge splash. Chat-based visual guidance? Sophie AI picks what works best for the individual user and your brand, based on real-time context and past interactions. Tapping Into Tribal Knowledge No AI thrives in a vacuum. But in today’s world, your customers expect more.

article thumbnail

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

AWS Machine Learning

This post explores the new enterprise-grade features for Knowledge Bases on Amazon Bedrock and how they align with the AWS Well-Architected Framework. AWS Well-Architected design principles RAG-based applications built using Knowledge Bases for Amazon Bedrock can greatly benefit from following the AWS Well-Architected Framework.

APIs 130
article thumbnail

Evaluate RAG responses with Amazon Bedrock, LlamaIndex and RAGAS

AWS Machine Learning

Current RAG pipelines frequently employ similarity-based metrics such as ROUGE , BLEU , and BERTScore to assess the quality of the generated responses, which is essential for refining and enhancing the models capabilities. More sophisticated metrics are needed to evaluate factual alignment and accuracy.

Metrics 118