Impacts and Implications of AI/ML Implementation from 300 Data Experts
For the 2022 State of Data Practice Report, Molecula partnered with the Center for Generational Kinetics to survey 300 US data practitioners across a wide range of industries. We explored their perceptions and experience with AI/ML and advanced analytics in their organizations, how AI/ML impacts their current roles, and how they navigate (or change) their daily responsibilities as a result. This report dives deep into the lives of data engineers, data scientists, and analytics practitioners.
- Organizational effectiveness and maturity at using data and implementing advanced analytics and AI/ML solutions
- Roles that have a significant or hidden influence on technology adoption
- Opinions regarding automation of data wrangling and feature engineering
- Infrastructure preferences, limitations, workarounds, and technical debt
2022 State of Data Practice: Impacts and Implications of AI/ML Implementation from 300 Data Experts
In this webinar, we cover tips & tricks to improve your AI/ML strategy, including the Top 3 roadblocks to successful AI/ML implementation, time-saving hacks, workarounds, & causes of technical debt, opinions regarding automation of data wrangling/feature engineering, and more.