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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. This sophisticated foundation propels conversational AI from a futuristic concept to a practical solution. billion by 2030.

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Meet AgentGPT, an AI That Can Create Chatbots, Automate Things, and More!

Analytics Vidhya

A fully autonomous AI agent called AgentGPT is gaining popularity in the field of generative AI models. Based on AutoGPT initiatives like ChaosGPT, this tool enables users to specify a name and an objective for the AI to accomplish by breaking it down into smaller tasks. appeared first on Analytics Vidhya.

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Top AI models for conversation intelligence

AssemblyAI

Many teams are turning to conversation intelligence to help them achieve these goals.    In this article, we cover what exactly conversation intelligence is and why conversation intelligence is important before exploring the top use cases for AI models in conversation intelligence.

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AI courses to boost your skills and stay ahead

AI News

The course covers the requirements elicitation process for AI applications and teaches participants how to work closely with data scientists and machine learning engineers to ensure that AI projects meet business goals. For business analysts, the course provides essential skills to guide AI initiatives that deliver real business value.

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The Fusion of Robotics, AI, and AR/VR: A 2024 Revolution in Manufacturing

Unite.AI

Robotics and automation for manufacturers Robotic automation has long been a cornerstone of modern manufacturing , streamlining repetitive tasks, enhancing precision, and augmenting human labor. It also has built-in memory capability that stores information from past conversations to better respond to subsequent messages.

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Unlock productivity with advanced generative AI

IBM Journey to AI blog

AI and automation are driving business transformation by empowering individuals to do work without expert knowledge of business processes and applications. We are now taking a major step to unlock new levels of productivity by introducing advanced generative AI capabilities to a variety of new use cases.

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Generative AI use cases for the enterprise

IBM Journey to AI blog

For example, organizations can use generative AI to: Quickly turn mountains of unstructured text into specific and usable document summaries, paving the way for more informed decision-making. Automate tedious, repetitive tasks. Imagine training a generative AI model on a dataset of only romance novels.