Data Science - Machine Learning

What is Data Science?

The data of data science may be loosely described as being of three varieties: massive in volume but static, arriving in a stream and needing immediate analysis, and high dimensional. The problem of high dimensionality differs in several respects from the first two varieties. Most importantly, data reduction techniques require complex mathematical and computational methods that are incompatible with the general philosophy of do-it-yourself.  

The Escalating demand for insights in to big data requires a fundamentally new approach to architecture, tools and practices. 

Enterprise Big Data

We live in a world increasingly driven by data. How the organization defines its data strategy and approach will make a critical difference in the ability to compete in the future.

Big data is changing the way people within and out organizations work together. Insights from big data can enable all employees to make better decisions—deepening customer engagement, optimizing operations, preventing threats and fraud, and capitalizing on new sources of revenue.

SoftMath Capabilty Statement