IBM Unveils WatsonX Platform

The video discusses IBM's Think conference and the announcement of Watson X, a platform designed to enhance business operations through AI. Watson X offers trusted, scalable, and adaptable AI solutions, focusing on business use cases like customer service and IT automation. The discussion covers the cost and adoption of Watson X, emphasizing IBM's investment in foundational models to reduce client expenses. Data governance and avoiding AI risks are highlighted, with IBM ensuring data privacy and model reliability. The business model includes platform subscriptions and consulting services. IBM targets horizontal domains for scalability and is working with governments on AI regulation.

What is Watson X and how does it differ from traditional AI models?

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What are the key components of Watson X mentioned in the discussion?

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How does IBM ensure the safety and reliability of the data used in Watson X?

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What challenges do companies face regarding the cost of implementing AI technologies like Watson X?

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How does IBM plan to monetize Watson X and what services do they offer?

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What are some of the use cases for Watson X in various industries?

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What is the significance of governance in the context of AI as discussed in the text?

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