Probabilistic graphs and uncertain data analysis represent a rapidly evolving research domain that seeks to reconcile the inherent imprecision of real-world data with robust computational models. By ...

Ever since the introduction of the Google Knowledge Graph, a growing number of organizations have adopted this powerful technology to drive efficiency and effectiveness in their data management.

Graphs, maps and data analyses? Now ChatGPT can do even more. By Yiwen Lu Reporting from San Francisco ChatGPT, the artificial-intelligence-powered chatbot made by OpenAI, has wowed the world in ...

Graph database expert Marko Budiselić has some thoughts on why it's time to be more data source ecumenical. Coming from the world of graph technology, ...

Data visualization is the graphical representation of information and data via visual elements like charts, graphs, and maps. It allows decision-makers to understand and communicate complex ideas to ...

Have you ever found yourself overwhelmed by the sheer volume of data you need to analyze? Whether it’s structured data like CSVs and SQL databases or unstructured data such as PDFs and images, the ...

When you use the statistical analysis features in Excel, you are leveraging one of the most powerful tools available for data manipulation and interpretation. Excel is not just a spreadsheet ...

See our top data 8 visualization tools, including Tableau, Power BI and Google Looker, learn why we selected each and understand how to determine the best visualization tool. Data visualization tools ...

In today’s chaotic world, professional intelligence analysts must contend with nearly endless data streams, which risk overwhelming them while also exacerbating the impact of cognitive biases. Is AI ...

Thanks to generative AI, we’re getting close to the promise of truly “democratizing” data. This means anyone can make decisions that are data-driven, not just highly skilled data scientists. Here ‘s ...

Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out. Novice data scientists sometimes have ...