What are some dream projects according to data scientists? How do you make sure that data scientists are able to work on innovative or engaging projects?
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VP of IT in Healthcare and Biotech6 months ago
My best advice is always: Make them work on the projects that solves the most valuable or important business problem. It may not be the most technologically or intellectually "innovative" project - but it creates the biggest impact and momentumDirector of Data & Analytics6 months ago
Data readiness is highly critical for the success of these data programs. It depends on the data scientist skillset from full stack or data science role with in those programs. Our teams engaged in delivering high value and innovative programs revolves around operational efficiency, quality, computer vision, MFG 4.0, IoT, predictive analytics and planning. Data Science & AI Expert in Miscellaneous6 months ago
Innovation needs directional encouragement, flexibility, and no fear of failure. This can be supported by allocating a fixed percentage of the team time for innovation within high level guidelines.