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Conversational AI use cases for enterprises

IBM Journey to AI blog

Conversational artificial intelligence (AI) leads the charge in breaking down barriers between businesses and their audiences. This class of AI-based tools, including chatbots and virtual assistants, enables seamless, human-like and personalized exchanges.

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Conversation AI: What it is and top use cases

AssemblyAI

Ninety percent of contact centers handle calls faster and more efficiently after implementing a conversation AI tool. And, with recent advances in AI technology, the quality of conversation AI tools is rapidly increasing, making their impact even more significant. What is Conversation AI?

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Everything You Need to Know about Conversational AI

Chatbots Life

What is Conversational AI? We all remember conversing with a Chatbot at some point in our lives. Conversational AI is the use of Machine learning and advanced algorithms where you interact with a computer naturally using audio, and the machine/computer understands the intent behind your query and responds accordingly.

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Uniphore Chooses Snorkel Flow to Accelerate Conversational AI

Snorkel AI

Uniphore , a conversational AI and automation leader, has chosen Snorkel’s data-centric AI platform to scale data labeling and acclerate ML model development. By leveraging Snorkel Flow, Uniphore strives to accelerate its AI development cycle, reduce costs, and improve the accuracy of its conversational AI solutions.

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Uniphore Chooses Snorkel Flow to Accelerate Conversational AI

Snorkel AI

Uniphore , a conversational AI and automation leader, has chosen Snorkel’s data-centric AI platform to scale data labeling and acclerate ML model development. By leveraging Snorkel Flow, Uniphore strives to accelerate its AI development cycle, reduce costs, and improve the accuracy of its conversational AI solutions.

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The Rise of AI Software Engineers: SWE-Agent, Devin AI and the Future of Coding

Unite.AI

The field of artificial intelligence (AI) continues to push the boundaries of what was once thought impossible. From self-driving cars to language models that can engage in human-like conversations, AI is rapidly transforming various industries, and software development is no exception.

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Machine Learning and Language (ML²) at CDS: Moving NLP Forward

NYU Center for Data Science

It’s a pivotal time in Natural Language Processing (NLP) research, marked by the emergence of large language models (LLMs) that are reshaping what it means to work with human language technologies. A Vision for ML² In the beginning, ML² was simply the hub for NLP research at NYU.