Continual learning and data literacy at the organizational level
Advanced analytics and AI teams can do great work and deliver impressive models, but if the front-line workforce is not trained, upskilled, and directed to implement and use the new processes, models, and insights, then it is all for naught:
As AI tools become easier to use, AI use cases proliferate, and as AI projects are deployed, cross-functional teams are being pulled into AI projects. Data literacy will be required from employees outside traditional data teams—in fact, Gartner expects that 80% of organizations will start to roll out internal data literacy initiatives to upskill their workforce by 2020. [8]
In Gartner's third annual chief data officer survey, respondents said that the second most significant roadblock to progress with data and analytics is poor data literacy, rooted in ineffective communication across a wide range of increasingly diverse stakeholders. Data and...
