Remove Best practices Remove Chatbots Remove Healthcare Remove Scripts
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Exploring summarization options for Healthcare with Amazon SageMaker

AWS Machine Learning

In today’s rapidly evolving healthcare landscape, doctors are faced with vast amounts of clinical data from various sources, such as caregiver notes, electronic health records, and imaging reports. In a healthcare setting, this would mean giving the model some data including phrases and terminology pertaining specifically to patient care.

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AI Conversation Simulation for High-performing Customer Service Agents

CSM Magazine

Despite the rise of chatbots and tools to quickly solve customer issues, Harvard Business Review recently reported that 58 percent of customers prefer to call the contact center to solve urgent issues. HubSpot says 80 percent of customers reported that they have stopped doing business with a company due to a poor customer experience.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

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Revolutionizing Communication: Unleashing the Power of the Best Artificial Intelligence Chatbots

SmartKarrot

Understanding the basics of AI chatbots An artificial intelligence chatbot is a computer program designed to converse with users through text-based or voice-based interfaces, using Artificial Intelligence (AI) technologies such as Natural Language Processing (NLP) and Machine Learning (ML).

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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

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Best practices to build generative AI applications on AWS

AWS Machine Learning

By the end, you will have solid guidelines and a helpful flow chart for determining the best method to develop your own FM-powered applications, grounded in real-life examples. Whether creating a chatbot or summarization tool, you can shape powerful FMs to suit your needs. For more details, refer to Amazon Bedrock Developer Experience.

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Chatbot: Complete Guide

JivoChat

Chatbots have become a success around the world, and nowadays are used by 58% of B2B companies and 42% of B2C companies. In 2022 at least 88% of users had one conversation with chatbots. There are many reasons for that, a chatbot is able to simulate human interaction and provide customer service 24h a day. What Is a Chatbot?