Remove Engineering Remove Personalization Remove Scripts
article thumbnail

Few-shot prompt engineering and fine-tuning for LLMs in Amazon Bedrock

AWS Machine Learning

Traditionally, earnings call scripts have followed similar templates, making it a repeatable task to generate them from scratch each time. On the other hand, generative artificial intelligence (AI) models can learn these templates and produce coherent scripts when fed with quarterly financial data.

article thumbnail

AI-Driven Customer Service Demands Humanized CX

TechSee

Rather than relying on static scripts, Sophie autonomously decides how to engage. Check out how Sophie AI’s cognitive engine orchestrates smart interactions using a multi-layered approach to AI reasoning. Support becomes more personal. Visual troubleshooting? Step-by-step voice support? Chat-based visual guidance?

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

AI Reasoning Explained: Smarter Interactions, Better Results

TechSee

Reasoning is the difference between a basic chatbot that follows a script and an AI-powered assistant or AI Agent that can anticipate your needs based on past interactions and take meaningful action. This ensures a consistent and highly personalized experience for customers.

article thumbnail

Drive hyper-personalized customer experiences with Amazon Personalize and generative AI

AWS Machine Learning

Today, we are excited to announce three launches that will help you enhance personalized customer experiences using Amazon Personalize and generative AI. Amazon Personalize is a fully managed machine learning (ML) service that makes it easy for developers to deliver personalized experiences to their users.

article thumbnail

Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

AWS Machine Learning

Challenges in data management Traditionally, managing and governing data across multiple systems involved tedious manual processes, custom scripts, and disconnected tools. As producers, data engineers in these accounts are responsible for creating, transforming, and managing data assets that will be cataloged and governed by Amazon DataZone.

article thumbnail

How LotteON built a personalized recommendation system using Amazon SageMaker and MLOps

AWS Machine Learning

LotteON aims to be a platform that not only sells products, but also provides a personalized recommendation experience tailored to your preferred lifestyle. as the entry point script to handle invocations. With Amazon EMR, which provides fully managed environments like Apache Hadoop and Spark, we were able to process data faster.

article thumbnail

25 Call Center Leaders Share the Most Effective Ways to Boost Contact Center Efficiency

Callminer

Bill Dettering is the CEO and Founder of Zingtree , a SaaS solution for building interactive decision trees and agent scripts for contact centers (and many other industries). Interactive agent scripts from Zingtree solve this problem. Agents can also send feedback directly to script authors to further improve processes.