Data science requires an organizational strategy that enables data science teams to be mobile and have opportunities to interact with various groups at different points in the data science life cycle.
Key to success in an A.I. or IoT or data strategy is data scientist productivity. Data scientist productivity is defined as the volume of business-critical results driven through data science. The difference between successful data-driven companies and not so successful ones is the productivity and throughput of the data science team.
Author: Kumar Srivastava