Remove Chatbots Remove Engineering Remove Personalization
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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning

Furthermore, these notes are usually personal and not stored in a central location, which is a lost opportunity for businesses to learn what does and doesn’t work, as well as how to improve their sales, purchasing, and communication processes. The end-to-end solution for the video insights and summarization engine starts with the UI.

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Build generative AI chatbots using prompt engineering with Amazon Redshift and Amazon Bedrock

AWS Machine Learning

It enables you to privately customize the FMs with your data using techniques such as fine-tuning, prompt engineering, and Retrieval Augmented Generation (RAG), and build agents that run tasks using your enterprise systems and data sources while complying with security and privacy requirements.

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Is your chatbot contact center smart?

CX Global Media

If you read the media hype about chatbots, you might get worried thinking that Artificial Intelligence will cause widespread contact center extinction. You need to focus on making your chatbot contact center smart. Is your chatbot contact center smart? Making your chatbot contact center smart. Click to Tweet.

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The history of the search engine: from index cards to the AI chatbot

Inbenta

Even those of us old enough to remember a life pre-web struggle to recall how we did our homework, checked for correct spellings or even resisted the urge to ask those questions we wouldn’t dare ask aloud without the relative safety of a search engine like Google. But how did we reach this point? But how did we reach this point?

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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.

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How to Achieve Personalized Customer Service with AI Tools

TechSee

Personalization as a driver in customer service. Delivering personalized customer service is more than just addressing a customer by name in an automated email, or segmenting by interest; it is a way to capture the customer’s attention and create a level of engagement that is authentic and relevant at every stage of the customer journey.

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AI-Driven Customer Service Demands Humanized CX

TechSee

At launch, chatbots made a huge splash. Unlike traditional chatbots, Sophie AI delivers: Autonomous Decision-Making: Sophie AI evaluates the customer’s need, chooses the most effective modality, and continuously learns from both AI Assist and Agentic AI interactions. Support becomes more personal.