Graph technology has become a requirement for the modern enterprise. Companies in virtually every industry, from healthcare to energy to financial services, are applying the power of graph analytics ...

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 ...

These past few months have not been kind to any of us. The ripples caused by the COVID-19 crisis are felt far and wide, and the world's economies have taken a staggering blow. As with most things in ...

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 ...

The way you present your Excel data can make a significant impact on how your message is received. Excel, a tool that most professionals are familiar with, has immense potential for creating visually ...

Rajiv Shesh is the Chief Revenue Officer at HCLSoftware where he leads revenue growth & customer advocacy for Products & Platforms division. What’s really powering AI? High-quality data—foundational ...

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 ...

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 ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...