Our team recently attended the Chief Data & Analytics officers (CDAO) conference in Boston and used the opportunity to conduct an informal poll. The conference wills packed with C-suit executives trying to wrangle big data companies like Tesla, Lionsgate, AMD, Capital One, and Ford. We asked everyone about their analytics challenges. There were two standout issues that we kept hearing about again and again.
1. Their Data Scientists Get Bogged Down With Data Access Challenges
A recent study from Cognilytica.com showed that data preparation and data engineering tasks represent over 80% of the time consumed in most AI and Machine Learning projects.