The software industry confronts a defining moment. Open Source Software, as delineated by the Open Source Initiative (OSI), has long been a cornerstone of technological advancement, enabling collaborative triumphs like the Linux kernel. Yet, its open-access ethos harbors a persistent flaw: exploitation. Can we stop it?
Analysis and predictions of occupancy in public transport are essential in order to use vehicles intelligently […]
Business capabilities and opportunities result from these Big Data Landscape maturity levels of an enterprise. We describe what they are and how they matter.
This article will introduce the concept of Locality Sensitive Hashing (LSH) and the working principles of the algorithm.
The four horsemen represent the four levels of problems faced by Big Data-driven enterprises. We look at these problems and ways to solve them.
Big Time Series Data Applications crucial in enterprise digitization. Here, we discuss the 5 top known Time Series Applications as well as some use cases.
Concept drifts in Time Series Data are crucial for analysis and machine learning. We discuss concept drifts and their implications for machine learning.
What are Data Science techniques, methods, tools and languages? We answer what Data Scientists do and which methods, tools, techniques and languages they use.
Big Data and Smartphone apps help to limit Coronavirus infection chains. Here we show the top 5 ways how smartphones and Big Data Science helps to fight the Coronavirus pandemic.