Approximately one in three restaurants will go out of business in its first year. For construction companies, that figure rises to 53%.
But AI projects are the real heartbreakers: A Gartner study found that 85% are destined to fail “due to bias in data, algorithms or the teams responsible for managing them.”
Unfortunately, the profound fear of missing out means many organizations are jumping into AI projects with both feet even though they don’t fully appreciate the scope of work involved.
Full TechCrunch+ articles are only available to membersUse discount code TCPLUSROUNDUP to save 20% off a one- or two-year subscription.
“The best way to ensure you are on the correct AI development path is to start your AI project without thinking about the models,” recommends Eran …