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Generative AI use cases for the enterprise

IBM Services

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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The most valuable AI use cases for business

IBM Services

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? But right now, pure AI can be programmed for many tasks that require thought and intelligence , as long as that intelligence can be gathered digitally and used to train an AI system.

Retail 86
professionals

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10 everyday machine learning use cases

IBM Services

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029. Then, it can tailor marketing materials to match those interests.

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IBM again recognized as a Leader in the 2023 Gartner® Magic QuadrantTM for Enterprise Conversational AI Platforms

IBM Services

IBM Watson Assistant was one of products evaluated in the 2023 Gartner® Magic Quadrant TM for Enterprise Conversational AI Platforms (CAIP), a market defined by Gartner as ¨the enterprise conversational AI platform market for software platforms used to build, orchestrate, and maintain multiple use

Research 102
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AI in marketing: How to leverage this powerful new technology for your next campaign

IBM Services

Here are some key definitions, benefits, use cases and finally a step-by-step guide for integrating AI into your next marketing campaign. Today, AI technologies are being used more widely than ever to generate content, improve customer experiences and deliver more accurate results. What is AI marketing?

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AI in commerce: Essential use cases for B2B and B2C

IBM Business Partners

Four AI in commerce use cases are already transforming the customer journey: modernization and business model expansion; dynamic product experience management (PXM); order intelligence; and payments and security. Successful integration of AI in commerce depends on earning and keeping consumer trust.

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Exploring the risks and alternatives of ChatGPT: Paving a path to trustworthy AI

IBM Business Partners

And when in doubt, I recommend you use the same common sense that you’ve always used when employing new Internet services. And when in doubt, I recommend you use the same common sense that you’ve always used when employing new Internet services. You are making a smoothie for your friends to enjoy.