In this contributed article, freelance writer Ainsley Lawrence discusses how data visualization is a powerful tool that can help viewers quickly analyze and assess the status or results of an analysis. Good visualization can make even the largest and most complex datasets relatively straightforward to interpret.
Akridata Data Explorer Reduces Visual Data Analysis Time by 15x, Significantly Accelerates Model Accuracy for Production Grade AI Models
January 25, 2023 by
Akridata, a software company that provides an end-to-end suite of products that support both the smart ingestion and smart exploration of visual data to reduce cost and complexity while accelerating business value, announced the official launch of Akridata Data Explorer, its platform that provides data science teams the tools to easily explore, search, analyze, and compare visual data to improve data sets and improve model training.
How Yum! Brands Uses Location Data from Foursquare to Make Smarter Decisions
April 26, 2021 by
Join this virtual event with a compelling panel of technology leaders to discuss to discover how Yum! Brands and other organizations are leveraging location-based data to boost in-app location accuracy, increase in-store foot traffic, and expand e-commerce business.
USGIF White Paper: Geospatial Intelligence & AI/ML Progress During a Pandemic
November 15, 2020 by
The United States Geospatial Intelligence Foundation (USGIF) published a white paper on a topic impacting the intelligence community (IC) and more specifically, the GEOINT community; Geospatial Intelligence & AI/ML Progress During a Pandemic.
Three Ways Data Scientists are Fighting COVID-19
June 20, 2020 by
Data scientists in academia, non-profits, and the government have come together to track and respond to the economic & humanitarian impacts of the coronavirus. Put together by our friends over at SafeGraph, here are three ways data scientists are fighting COVID-19.
The Ultimate Guide to Data Visualization
December 31, 2019 by
“The Ultimate Guide to Data Visualization” eBook by Inzata, discusses how data visualization is all about communication. With clear, easy to read charts and visuals, the information can be effectively read and understood. This guide discusses the different types of visualizations, the appropriate time to use each one, and how to design visuals that will communicate the data clearly.
The Ultimate Guide to Data Visualization
December 30, 2019 by Leave a Comment
“The Ultimate Guide to Data Visualization” eBook by Inzata, discusses how data visualization is all about communication. With clear, easy to read charts and visuals, the information can be effectively read and understood. This guide discusses the different types of visualizations, the appropriate time to use each one, and how to design visuals that will […]
Current-Day Problems with Analytic Rendering: Why an Open Standard is Needed and What an API Design Could Look Like
December 26, 2019 by
In this contributed article, Khronos Group discusses how visualization applications simply describe objects in a scene to be rendered to gain portable access to a range of rendering back-end implementations. But with a successful analytic rendering open standard, technologists will be able to access a wider, more diverse range of rendering capabilities and engines.
RPI Student Team Phase 1 Winner for Data Visualization Competition with “Mortality Minder” App
August 24, 2019 by
An app created by Rensselaer Polytechnic Institute students that identifies social conditions contributing to declining life expectancy at a community level is a Phase 1 winner in a data visualization competition sponsored by the U.S. Department of Health and Human Services.
Visualization Best Practices for Business Analysts
September 22, 2018 by
In this contributed article, freelance human Avery Phillips discusses what you need to know about ensuring visualization is an asset and not a point of confusion for an organization. What visualization does is clarify what would often otherwise be complicated and murky given the way that large amounts of data can be hard to classify.
