Operationalizing Data Science

In the video presentation below, Joel Horwitz, Vice President, Partnerships, Digital Business Group for IBM Analytics, discusses what it means to “operationalize data science” – basically what it means to harden the ops behind running data science platforms. Over the past 3-4 years, IBM has partnered and invested in helping its clients marshal their valuable data and then to use Data Science to build insights and models that can create business value. The market is shifting to operationalizing these Data Science investments into production applications. The demands created by the vast volume and the blinding velocity of data can only be addressed via the reactive principles.