AI and ML use is ethical, accountable, and transparent with an AI governance framework
New, large-scale AI models called foundation models, or “transformers,” are trained on massive volumes of unlabeled data
An enterprise needs responsible, transparent, and explainable AI, which is difficult to find in the early days of the technology
AI development studios can swiftly train, validate, adjust, and deploy foundation models and build AI applications
A fit-for-purpose data storage with open lakehouse architecture scales AI and ML and includes governance tools It works in on-premise and multi-cloud setups
Watsonx, a next-generation data and AI platform, helps enterprises exploit foundation models
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