Tag: Data lakes

Introduction Gartner found that nearly 97% of data sits unused by organisations, and more than 87% of the organisations are classified as having low maturity levels in terms of business intelligence and analytics capability. This capability deficit could severely restrict a company’s growth and introduce risk to its existence as it cannot reinvent itself. Every […]

This post was written by Ganesh Suryanarayanan, Krishnakumar Ramadoss, Joseph Rosing and Manoj Muthukrishnan. Introduction Machine learning increasingly enables a lower total cost of quality by detecting defects faster (in some cases predicting them) and augmenting traditional six sigma business process improvements with scalable, low-cost solutions. However, like many industrial machine learning use cases, the […]