Recognizing that every business is a data business, many leaders are rapidly investing in long-term machine learning capability development and implementing organizational changes necessary for the domain to become a core function. Framework tools and machine learning libraries employed by data scientists over the past five years have allowed researchers to make sense of vast, previously unmanageable quantities of data with the help of on-demand computing power in the cloud.

While many challenging aspects of the science have been simplified, there is work to be done to further automate complex tasks, bring multi-disciplinary teams together with a common set of tools, and ultimately make the entire end-to-end process efficient for all stakeholders in the enterprise. …