Remove AI Chatbots Remove Data Platform Remove Natural Language Processing
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The recipe for RAG: How cloud services enable generative AI outcomes across industries

IBM Journey to AI blog

According to research from IBM ®, about 42 percent of enterprises surveyed have AI in use in their businesses. Of all the use cases, many of us are now extremely familiar with natural language processing AI chatbots that can answer our questions and assist with tasks such as composing emails or essays.

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From checkers to chess: A brief history of IBM AI

IBM Journey to AI blog

While the growing popularity of consumer AI chatbots have led many companies to recently enter the artificial intelligence (AI) space, IBM’s journey with AI has been decades in the making.

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How conversational AI can transform IT support

IBM Journey to AI blog

That was, until the introduction of AI chatbots for business emerged on the IT landscape. How Watson Assistant can help IBM Watson Assistant is a holistic SaaS solution for creating AI-enabled conversational experiences. Helpdesk workers are only human and providing 24/7 support seemed unrealistic.

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Generative AI use cases for the enterprise

IBM Journey to AI blog

Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” They are now capable of natural language processing ( NLP ), grasping context and exhibiting elements of creativity.

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Big Data and Artificial Intelligence: How They Work Together?

Pickl AI

Machine Learning algorithms enable systems to learn and improve from data without being explicitly programmed. Natural Language Processing AI technologies, like Natural Language Processing (NLP), enable computers to understand, interpret, and generate human language.