Predibase exits stealth with a low-code platform for building AI models

Data science teams are stymied by disorganization at their companies, impacting efforts to deploy timely AI and analytics projects. In a recent survey of “data executives” at U.S.-based companies, 44% said that they’ve not hired enough, were too siloed-off to be effective, and haven’t been given clear roles. Respondents said that they were most concerned about the impact of a revenue loss or hit to brand reputation stemming from failing AI systems and a trend toward splashy investments with short-term payoffs.
These are ultimately organizational challenges. But Piero Mo

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