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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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Generative AI use cases for the enterprise

IBM Journey to AI blog

Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating. Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.”

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Generative AI vs. predictive AI: What’s the difference?

IBM Journey to AI blog

Many generative AI tools seem to possess the power of prediction. Conversational AI chatbots like ChatGPT can suggest the next verse in a song or poem. But generative AI is not predictive AI. But generative AI is not predictive AI. What is generative AI?

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Data is essential: Building an effective generative AI marketing strategy

IBM Journey to AI blog

Generative AI is powering a new world of creative, customized communications, allowing marketing teams to deliver greater personalization at scale and meet today’s high customer expectations. With the right generative AI strategy, marketers can mitigate these concerns. The journey starts with sound data.

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PaLM AI | Google’s Home-Grown Generative AI

Analytics Vidhya

Introduction Ever since the launch of Generative AI models like the GPT (Generative Pre-trained Transformers) models by OpenAI, especially ChatGPT, Google has always been on the verge to create a launch an AI Model similar to that.

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Unlock productivity with advanced generative AI

IBM Journey to AI blog

IBM Watson Assistant is a market-leading conversational AI platform that transforms fragmented and inconsistent experiences into fast, friendly and personalized customer and employee care. Learn more about IBM Watson Assistant The post Unlock productivity with advanced generative AI appeared first on IBM Blog.

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The Plagiarism Problem: How Generative AI Models Reproduce Copyrighted Content

Unite.AI

The rapid advances in generative AI have sparked excitement about the technology's creative potential. Yet these powerful models also pose concerning risks around reproducing copyrighted or plagiarized content without proper attribution. More robust techniques will be needed as generative models continue rapidly evolving.