Although open source code in Python and R is popular because of its low cost, flexibility, and power, the time required to properly create code and ensure that it is working correctly can be frustrating. Not everyone is a programmer or wants to program! That's why the announcement by IBM in June about IBM Data Science Experience is such a game-changer! IBM Data Science Experience is a way for data scientists to collaborate and work on data science programs in the most efficient way possible. What if the collaboration could be extended to the data scientist or analyst who wants to build predictive models without code?

Ritika Gunnar is vice president of offering management, data and analytics at IBM. She has also served as a software engineer and as vice president for information integration and governance in IBM's platform analytics group. In this exclusive interview with SearchCloudApplications, she discusses the evolution of the data science industry and the skills that developers must possess to flourish in a data-driven world. How can you speed deployment and boost ROI? It's not easier said than done. Learn the latest techniques allowing companies to eliminate barriers between development, testing and deployment.