Remove Big data Remove Chatbots Remove Enterprise
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Guest Blog: How to Personalize Your Chatbots for Customer Journey Tracking & Provide a Better Experience

ShepHyken

This week we feature an article by Catalin Corzini who shares information about how chatbots can provide a better experience and how to customize the customer journey when using chatbots. – Shep Hyken. As we move towards big data and artificial intelligence, chatbots seem to be leading the way towards a more automated future.

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Generating value from enterprise data: Best practices for Text2SQL and generative AI

AWS Machine Learning

We are seeing numerous uses, including text generation, code generation, summarization, translation, chatbots, and more. One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. We looked into key components, optimization, and best practices.

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Customer Experience Automation: Transforming the Future of Customer Service

TechSee

The development of chatbots, automated email responses, and AI-driven customer support tools marked a new era in customer service automation. Today, CXA encompasses various technologies such as AI, machine learning, and big data analytics to provide personalized and efficient customer experiences.

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A 5-Step Checklist for Mastering Enterprise AI

CSM Magazine

At EBI.AI, we have spent over six years working closely with our customers to implement conversational AI projects for a wide range of organisations including retail, local government and multi-national enterprises. Select the right data – AI tools such as bots, chatbots and digital assistants are only as good as the data used to train them.

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Build a self-service digital assistant using Amazon Lex and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Generative artificial intelligence (AI)-powered chatbots play a crucial role in delivering human-like interactions by providing responses from a knowledge base without the involvement of live agents. These chatbots can be efficiently utilized for handling generic inquiries, freeing up live agents to focus on more complex tasks.

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Automate caption creation and search for images at enterprise scale using generative AI and Amazon Kendra

AWS Machine Learning

An example of a customized image search is Enterprise Resource Planning (ERP). In ERP, image data collected from different stages of logistics or supply chain management could include tax receipts, vendor orders, payslips, and more, which need to be automatically categorized for the purview of different teams within the organization.

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Retrieval-Augmented Generation with LangChain, Amazon SageMaker JumpStart, and MongoDB Atlas semantic search

AWS Machine Learning

Generative AI models have the potential to revolutionize enterprise operations, but businesses must carefully consider how to harness their power while overcoming challenges such as safeguarding data and ensuring the quality of AI-generated content. Babu Srinivasan is a Senior Partner Solutions Architect at MongoDB.

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