Top 10 Biggest Failures Of AI In 2019

Becoming data-driven and driving the AI-first strategy is the ultimate objective of most companies today as they are gearing towards a digital transformation journey. While the final results are gratifying, the journey of analytics or AI adoption can be slow. As a result, many analytics projects and startups ultimately fail to scale up or stand the test of time. In the last year, there have been several reports that suggested that a majority of data science projects will face failure. In fact, one report said that 87% of data science projects fail to move past the preliminary stages.