Big data pro’s have a plethora of mix and match tools from which to choose in building applications. What’s not clear, however, is whether they actually fit together in practice as well as they do in theory.
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.
Latest posts by George Gilbert (see all)
- Recipe for Machine Learning Applications: Getting Started - 17 Jan 2017
- Machine Learning Pipeline: Chinese Menu of Building Blocks - 30 Nov 2016
- 2017 Big Data & Machine Learning Predictions - 30 Nov 2016