Lium, a startup formerly known as Astromind, today announced the launch of an “agentic harness” that helps large language ...
New platform makes the largest and most fragmented datasets usable by AI, helping teams uncover insights that were previously out of reach and codify institutional knowledgeDALLAS, June 10, 2026 ...
In my 20 years of experience, I've seen how data centralization and visualization can support strategic decision making by making complex data from multiple sources clear and easy to interpret. This ...
AI has transformed the way companies work and interact with data. A few years ago, teams had to write SQL queries and code to extract useful information from large swathes of data. Today, all they ...
Part 1 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the data analytics and business ...
Complex network analysis of time series data transforms sequential observations of dynamic systems into networks whose nodes and links encapsulate underlying temporal and structural relationships. By ...
Large and Complex Data Theory encompasses the mathematical and algorithmic foundations for analysing datasets whose size, dimensionality and structural heterogeneity challenge classical statistical ...
In practically all areas of business—finance, sales, operations, etc.—we want to reduce the time it takes to convert information into insights that enable good decision making. This objective has been ...
If you love nothing more than good data visualization, Google's latest Sheets update will be right up your alley. The company has begun rolling out an upgrade to the app's Gemini side panel, a feature ...
Data development platform Encord is going beyond business analysis to become "the world's only multimodal AI data development platform." To fine-tune an AI model, you need quality -- and sometimes ...
Tabular data is at the heart of scientific analysis—whether in medicine, the social sciences, or even archaeology. Making it comprehensible and usable is often a tedious task, especially when the data ...
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