40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.
A scarcity of data scientists will no longer hinder the adoption of data science and machine learning in organizations.
Early adopters of augmented analytics have the potential to realize more strategic and differentiating business benefits from their analytics investments than those who wait until these technologies are widely adopted.
Automation of data science tasks will enable citizen data scientists to produce a higher volume of advanced analysis, than specialized data scientists.
The number of citizen data scientists will grow five times faster than the number of expert data scientists.
Citizen data scientists will surpass data scientists in the amount of advanced analysis produced.
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