You have probably heard that like 85% of machine learning projects fail. That statistic comes from a 2018 report (press release) that contained the following, “Gartner predicts that through 2022, 85 percent of AI projects will deliver erroneous outcomes due to bias in data, algorithms or the teams responsible for managing them.”[1]
Do most ML projects fail?
Do most ML projects fail?
Do most ML projects fail?
You have probably heard that like 85% of machine learning projects fail. That statistic comes from a 2018 report (press release) that contained the following, “Gartner predicts that through 2022, 85 percent of AI projects will deliver erroneous outcomes due to bias in data, algorithms or the teams responsible for managing them.”[1]