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 the utility bill arrives, a manufacturer can see how much total energy was used, but energy use is not broken down on a machine-by-machine basis. Invisible energy use hides […]
How AI Can Help Identify Opportunities Before They Expire
Opportunity knocks but once. It’s true – great opportunities must be seized when they come. But it’s also important for organizations to watch for signals and identify opportunities to stay ahead of the curve. Trend identification can span across a broad range of industries and functions such as financial institutions, competitive intelligence, strategic advisory, innovation scouting, and business […]
How to Become a DataOps Engineer
DataOps engineers are responsible for designing the data assembly line that allows data engineers and data scientists to gain insight from their analytics and research. DataOps engineers use processes and technologies to improve the speed and quality of projects being worked on. The DataOps philosophy can transform data teams, resulting in smaller development times, improved […]
Data Science vs. Data Analytics
The data scientist and the data analyst represented two of the “most in-demand, high-paying jobs in 2021.” The previous year, the World Economic Forum Future of Jobs Report 2020 listed these jobs at the top of a list representing most in-demand jobs across industries. In data analytics, which is often referred to as business analytics, […]
What You Don’t Know About Real-Time Data Is Killing You
One of the biggest pitfalls companies can run into when establishing or expanding a data science and analytics program is the tendency to purchase the coolest, fastest tools for managing data analytics processes and workflows, without fully considering how the organization will use these tools. The problem is that companies can spend much more money […]
Exploring Data Visualization in Three Steps
Data analytics has accompanied me for 15 years already. I started my career as a data analyst in a controlling department immediately following my graduation from the University of West Bohemia; I now work as a data scientist providing consultancy services for a range of different fields. The data analysis itself is the fun part. […]
Case Study: Executing an Effective Data Strategy
Few tasks are more logistically and technologically daunting than providing air, land, and sea transportation for the U.S. military across the entire world. Yet that is precisely the mission of the United States Transportation Command, or USTRANSCOM. According to a Congressional Research Service report, on any given day USTRANSCOM conducts over 240 air missions, sends […]
The Future of Data Architecture
Anthony J. Algmin believes Data Architecture is moving from a time of chaos and tangles into something more clean and organized. Speaking at the DATAVERSITY® Data Architecture Online Conference, Algmin looked at past predictions, current hot topics, and predictions for the future. He is the Founder and CEO of Algmin Data Leadership. A Quick Look […]
What Are AI APIs, and How Do They Work?
An application programming interface (API) is a powerful technology and a growing concept in the software development sphere. It can be used in a variety of business functions and in applications that we regularly use. We frequently hear about APIs, but most of us don’t realize that they have become more prevalent in our daily […]
Data Science: How to Shift Toward More Transparency in Statistical Practice
Data Science and statistics both benefit from transparency, openness to alternative interpretations of data, and acknowledging uncertainty. The adoption of transparency is further supported by important ethical considerations like communalism, universalism, disinterestedness, and organized skepticism. Promoting transparency is possible through seven statistical procedures: Data visualization Quantifying inferential uncertainty Assessment of data preprocessing choices Reporting multiple models Involving […]