Data Visualization is the study of the visual representation of big volumes of data. The main goal of data visualization is to communicate information clearly and effectively through graphical means. Learn about big data visualization products and strategies through these articles from the editorial experts at insideBIGDATA

USGIF Releases New White Paper: The Evolving Role of Synthetic Data in GEOINT Tradecraft 

Recent advancements in AI have created many opportunities in the GEOINT field, not only by improving imagery analysis techniques, but also by creating synthetic training data for AI algorithms to work more efficiently and accurately. Prior to the innovation of synthetic training data, human inputs would be needed for training AI algorithms.

Chat GPT-3 Statistics: Is the Future Already Here?

Our friends over at Tidio just released a new study on ChatGPT and what society thinks of it, supported by a number of compelling visuals. The study includes a variety of interesting data, as well as a selection of cool use cases of ChatGPT with prompt examples.

Comet Introduces Kangas, An Open Source Smart Data Exploration, Analysis and Model Debugging Tool for Machine Learning 

Comet, provider of a leading MLOps platform for machine learning (ML) teams from startup to enterprise, announced a bold new product: Kangas. Open sourced to democratize large scale visual dataset exploration and analysis for the computer vision and machine learning community, Kangas helps users understand and debug their data in a new and highly intuitive way.

Akridata Announces General Availability of New AI Platform for Visual Data

Akridata, an AI platform for visual data, announced the first availability of 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.

The World’s Most Ambitious Knowledge Graph 

In this contributed article, editorial consultant Jelani Harper highlights how knowledge graphs have become one of the foremost expressions of Artificial Intelligence today. Almost everyone—from vendors to organizations, analysts to regulators—relies on these applications at some point to compile, harmonize, and scrutinize specialized business information.

Next-Generation of Tableau Brings Advanced Analytics and Automated Insights to Business Users

oday, at the annual Tableau Conference, Salesforce introduced Tableau Cloud, the fast and easy way for customers to get the full value of Tableau at enterprise scale. The offering is the next generation of what was formerly known as Tableau Online and includes several new innovations to deliver intelligent, powerful and easy-to-use analytical tools to help anyone uncover insights, confidently make data-driven decisions, and create a single source of truth for all trusted data, accessible anytime, anywhere.

Anaconda Announces Collaboration with Esri, Setting the Enterprise Standard for Python Across the Geospatial Community

Anaconda Inc., provider of the popular data science platform, announced a collaboration with Esri, the global market leader in geographic information system (GIS) software, location intelligence, and mapping. This collaboration supports Esri and the geospatial community by providing users of Esri’s software with preloaded geospatial packages for use with Python.

HEAVY.AI Introduces New Capabilities that Enable Organizations to Gain Faster Access to Rapidly Growing Data Sets and Deliver Decision-Quality Information

HEAVY.AI (previously Omnisci), an innovator in advanced analytics, announced the limited release of HEAVY.AI 6.0, with general availability to follow in April. The new capabilities, such as HeavyConnect, deliver improved analytics performance and faster time to decision-quality information, allowing organizations to immediately extract value from their data. HEAVY.AI 6.0 empowers stakeholders to learn and make decisions based on data without requiring sophisticated data science skills or executing SQL commands.

Data Literacy to be Most In-Demand Skill by 2030 as AI Transforms Global Workplaces

The report, Data Literacy: The Upskilling Evolution, was developed by Qlik in partnership with The Future Labs and combines insights from expert interviews with surveys from over 1,200 global C-level executives and 6,000 employees. The findings, which were largely consistent across all geographies surveyed, reveal how the rapid growth in data usage is extending enterprise aspirations for its potential and, in turn, transforming working practices.

Explanatory vs. Exploratory — Which Data Visualization Is Right for Your Organization?

In this special guest feature, Chad Reid, VP of marketing and communications at Jotform, argues that data visualization remains one of the best tools you can use to highlight relevant information for stakeholders, but to use it to its full potential, it is key to understand the difference between explanatory versus exploratory data analysis and know when to use each. He provides three strategies for better data visualization.