Remove Analytics Remove Big data Remove Chatbots Remove Healthcare
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7 Digital Transformation Trends to Watch While You Digitize Your Business

Jive

The Internet of Things is expected to generate more data than we could possibly process—an estimated 600 zettabytes by 2020. Big Data is how we’ll make sense of it all, which is why the industry is expected to reach $102 billion by 2019. One of the exciting areas where we’re seeing activity is in the healthcare industry.

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The State of the Bot Going Into 2018

Aspect

2016 saw an explosion of interest and investments in chatbots, as I wrote in my last annual recap. Much like in 2016, this year I’ve had countless conversations about chatbot needs with numerous customers, prospects, and partners around the globe, and it’s clear to me that as an industry we have made progress. Let’s have a look.

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

AWS Machine Learning

It has applications in areas where data is multi-modal such as ecommerce, where data contains text in the form of metadata as well as images, or in healthcare, where data could contain MRIs or CT scans along with doctor’s notes and diagnoses, to name a few use cases.

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Personalize your generative AI applications with Amazon SageMaker Feature Store

AWS Machine Learning

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. Bin Wang , PhD, is a Senior Analytic Specialist Solutions Architect at AWS, boasting over 12 years of experience in the ML industry, with a particular focus on advertising.

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

AWS Machine Learning

This is backed by our deep set of over 300 cloud security tools and the trust of our millions of customers, including the most security-sensitive organizations like government, healthcare, and financial services. Your LLM application may have more or fewer definable trust boundaries. Ram Vittal is a Principal ML Solutions Architect at AWS.

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Customer Service Software Trends to Watch Out For

CSM Magazine

Through big data analytics, companies can create a personalized journey for each of their customers. Embracing the Power of AI-Powered Chatbots. Chatbots must be ultra-advanced if they are to deliver similar results as human support teams. Personalizing the Customer Experience.