The expediential growth and increased complexity of data - and data sources - introduces scalability challenges for traditional tools. Machine Learning can be leveraged to characterize vast amounts of data and perform useful tasks by "learning" from examples. As more data becomes available, more ambitious problems can be tackled in a cost-effective manner (vs. traditional programming).