GenAI, from experimentation to adoption
Another realization enterprises had is just how important data is to AI initiatives, especially those composing their AI services. Organizations are finding they have outdated data or incomplete data sets. Companies tend to invest heavily in the data plane — where data is stored, organized and managed. Now, they need to invest in data engineering to prepare data for grounding and fine-tuning their AI models. Predictions around future growth and concerns for AI There is…
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