In a data-driven business climate, data is playing a key role in capturing market intelligence and “actionable insights” to augment business operations. Thus, Data...
Manufacturers want to save money, conserve energy, and reduce greenhouse
gas emissions, but it’s a challenge to see where and when energy use is
occurring. When...
During the long pandemic, the global population have consistently turned to artificial intelligence-powered technologies for their daily needs. Be it chat bots for uninterrupted...
DataOps engineers are responsible for designing the data assembly line that allows data engineers and data scientists to gain insight from their analytics and...
Data warehouses have advanced in the past few years, adding multiple enhancements and new capabilities. A data warehouse stores business data from a variety...
Digital twins can present a virtual replica of physical components, processes, or systems to enable improved understanding of the performance characteristics of such entities....
The term “digital transformation” (DT) encompasses the holistic framework and the associated strategy designed for integrating technology, business processes, and employee effort to get...
How can an organization thrive
in the 2020s, a changing and confusing time with significant Data Management
demands and platform options such as data warehouses, Hadoop, and the
cloud? Trying to...
Many BI managers, CEOs, and CIOs cannot afford to add more staff, so they are seeking technologies that can help their existing teams operate more accurately and efficiently. They “need to change the physics, as we call it. They can’t just add more people to the team,” said Amnon Drori in a recent DATAVERSITY® interview. […]
Data Science vs. Decision Science: Basic Descriptions In Data Science, a variety of advanced technologies like data mining, statistics, predictive analytics, AI, and machine learning are used in conjunction to deliver solutions for business problems. In Decision Science, analyzed data is “interpreted” to arrive at business decisions that meet specific objectives. So while Data Science […]
The terms “self-service analytics” (SSA) and “machine learning” (ML) are frequently used interchangeably, but the concepts behind these terms are a world apart. In self-service analytics, specific tools are designed to aid the user in inputting data or interpreting results (output). On the other hand, a machine learning algorithm is a special software that has […]
