https://techcrunch.com/2022/05/10/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 Molino, the cofounder of AI development platform Predibase, says that inadequate tooling often exacerbates them.