Remove Conversational AI Remove Deep Learning Remove NLP
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Conversational AI use cases for enterprises

IBM Journey to AI blog

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. NLP translates the user’s words into machine actions, enabling machines to understand and respond to customer inquiries accurately.

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Synthflow AI: The Ultimate Tool for Automating Your Business Calls

Analytics Vidhya

Introduction Conversational AI has emerged as a transformative technology in recent years, fundamentally changing how businesses interact with customers.

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Amr Nour-Eldin, Vice President of Technology at LXT – Interview Series

Unite.AI

research scientist with over 16 years of professional experience in the fields of speech/audio processing and machine learning in the context of Automatic Speech Recognition (ASR), with a particular focus and hands-on experience in recent years on deep learning techniques for streaming end-to-end speech recognition.

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Josh Feast, CEO and Co-Founder of Cogito – Interview Series

Unite.AI

Can you discuss how Cogito uses AI to analyze behavioral cues and provide in-the-moment feedback during conversations? Cogito uses a powerful combination of Emotion and Conversation AI to reveal new insights from all conversations, extracting both what was said and how the customers received the message.

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Accelerate deep learning model training up to 35% with Amazon SageMaker smart sifting

AWS Machine Learning Blog

In today’s rapidly evolving landscape of artificial intelligence, deep learning models have found themselves at the forefront of innovation, with applications spanning computer vision (CV), natural language processing (NLP), and recommendation systems. K Lokesh Kumar Reddy is a Senior engineer in the Amazon Applied AI team.

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7 Sessions at ODSC East 2023 to Help You Perform NLP Better

ODSC - Open Data Science

A lot goes into NLP. Going beyond NLP platforms and skills alone, having expertise in novel processes, and staying afoot in the latest research are becoming pivotal for effective NLP implementation. We have seen these techniques advancing multiple fields in AI such as NLP, Computer Vision, and Robotics.

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AI code-generation software: What it is and how it works

IBM Journey to AI blog

How does generative AI code generation work? Generative AI for coding is possible because of recent breakthroughs in large language model (LLM) technologies and natural language processing (NLP). It uses deep learning algorithms and large neural networks trained on vast datasets of diverse existing source code.