How Bad Data Kills AI Projects—and Why Startups Are Racing to Fix It
Many companies rush into AI without realizing their biggest challenge isn’t the technology itself—it’s the messy data behind it. Studies show over a third of AI experiments flop because the data feeding them is messy, outdated, or scattered across forgotten spreadsheets and broken pipelines. The pro