6/10/2023 0 Comments The Steps by Andrew WatsonAIOps Insights will feature models that offer visibility into IT performance across different environments. For example, Watson Code Assistant (available later in 2023) will use generative AI to help generate code with English language commands. In addition to the watsonx platform itself, IBM plans to “infuse” watsonx.ai models into its major product offerings. Essentially, it’s a huge toolkit that enterprises can use to build AI capabilities according to their specific requirements. The models in the watsonx.ai library can be used for a variety of purposes, such as auto-generating code through a natural language interface, planning for natural disaster patterns, or developing industry-specific use cases that can be easily customized per enterprise needs. These models are considered robust among the open-source community, and have been trained on language, code, tabular data, geospatial data, time-series data, etc. Its watsonx.ai tool features a model library that includes foundation models that have already been vetted and curated by IBM. IBM is creating the foundation to make AI more widely accessible to all enterprises, not just those with advanced technical expertise.
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