article thumbnail

AI technology will save contact centre agents, not displace them

Connect

Technology-enabled transformation is a growing trend as operators look to access the latest technologies shaping the contact centre of the future , with artificial intelligence (AI) a key strategic focus. Every customer interaction will contribute to the wealth of customer data held in this knowledge base.

article thumbnail

Intelligent document processing with AWS AI services: Part 2

AWS Machine Learning

Amazon’s intelligent document processing (IDP) helps you speed up your business decision cycles and reduce costs. Across multiple industries, customers need to process millions of documents per year in the course of their business. The following figure shows the stages that are typically part of an IDP workflow.

Banking 73
Insiders

Sign Up for our Newsletter

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

article thumbnail

What is Customer Science? Is this the next wave of change?

Beyond Philosophy

‘ Customer Science’ is the fusion between technology, behavioral science and data. Customer Science to me in the integration between a number of existing disciplines; Behavioral Science, Technology (AI) and Big data. We often say there is a big difference between what Customers say and what they do.

Finance 397
article thumbnail

Contact Center Trends 2024: Our Predictions

Fonolo

Today’s trends are tech-driven Today’s top customer service story is all about technology. We live in an era of big data, AI, and automation, and the trends that matter in CX this year begin with the abilities – and pain points – ushered in by this technology. Both are hot-button topics this year.

article thumbnail

These 8 Technologies Are Transforming the Contact Center

DMG Consulting

These 8 Technologies Are Transforming the Contact Center. View this document on the publisher’s website. Advancements in artificial intelligence (AI), machine learning, Big Data analytics, and mobility are all driving contact center innovation. I would like to receive the monthly DMG Newsletter. August 2017.

article thumbnail

Monitor embedding drift for LLMs deployed from Amazon SageMaker JumpStart

AWS Machine Learning

Overview of RAG The RAG pattern lets you retrieve knowledge from external sources, such as PDF documents, wiki articles, or call transcripts, and then use that knowledge to augment the instruction prompt sent to the LLM. Before you can start question and answering, embed the reference documents, as shown in the next section.

article thumbnail

Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Knowledge Bases for Amazon Bedrock automates synchronization of your data with your vector store, including diffing the data when it’s updated, document loading, and chunking, as well as semantic embedding. RAG is a popular technique that combines the use of private data with large language models (LLMs). txt) Markdown (.md)

APIs 110