Predibase exits stealth with a platform for building AI models – TechCrunch

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 co-founder of AI development platform Predibase, says that inadequate tooling often exacerbates them.