In my prior blog “Reframing Data Management: Data Management 2.0″, I talked about the importance of transforming data management into a business strategy that...
Note: Many thanks to those who provided comments on my previous blog “Features Part 1: Are Features the new Data?”. And special thanks to Somil Gupta and Ha...
When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In the first article...
Source: see last section in this article Of course this question begs for the answer that it is both an art and a science. I view it more like craftsmanship. This article...
Data engirds the entire world. Data is evolving just like any other thing on this globe. Being a part of this tech-oriented world, today we human beings create as much in...
A common challenge for teams working on video machine learning applications is how to scale and automate their ML lifecycle when working with these types of large unstruc...
Logical data warehouse’, ‘data fabric’, and ‘data mesh’ are just a few of the names for new modern data architecture paradigms that are being promoted as the wa...
Photo by Clayton Robbins on Unsplash AI development today rests on the shoulders of Machine Learning algorithms that require huge amounts of data to be fed into training ...
Summary Regression analysis is one of the methods supplied built-in with SAP BW Data Mining. Based on this method regression models can be created and configured ...
One of the unanticipated consequences of digitization has been data feudalism. A major reason data feudalism was such a surprise was that society just didnt anticipat...