Machine learning (ML) applications don’t have to be the province of hard-to-find data scientists working on esoteric, custom applications. SaaS-delivered ML applications can hide the data science behind traditional and well-understood GUI’s and API’s. Of six core tasks to manage a machine learning application, enterprises need to focus on three one-time tasks to bootstrap the application.
George has led conference panels with prominent thought leaders in cloud infrastructure and big data.He has been profiled on the front page of the Wall Street Journal and published as a guest author in a major overview of the evolution of cloud computingin The Economist.
Previously, George was the lead enterprise software analyst for Credit Suisse First Boston, one of the top investment banks serving the technology sector.Prior to being an analyst, George was a product manager on Notes at Lotus Development.
George received his BA in economics from Harvard University.