In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

Graph neural networks (GNNs) are powerful artificial intelligence (AI) models designed for analyzing complex, unstructured graph data. In such data, entities are represented as nodes and ...

In a March 2025 analysis, Google users who encountered an AI summary were less likely to click on links to other websites ...

Start with a small data set you’re familiar with, run it through the AI agent and make sure the results match what you know about the data. Once you’re comfortable, move onto a larger data set.

Select cells E3:L16. Go to Data, click the dropdown arrow next to What-if Analysis within the Forecast group, and choose Data Table. The Data Table window will open, asking for inputs into Row input ...

1. Seek Out Comprehensive Data First, selecting relevant and critical data sources is important; if you include only one geographical area for global customers, the results will be biased.

Neo4j, a leading graph database and analytics company, is introducing Neo4j Aura Graph Analytics, a new serverless offering that can be used with any data source and with Zero ETL (extract, load, ...

NEW YORK and PARIS, June 21, 2024 — CAST, a global leader in software intelligence, announced a strategic research collaboration with the Laboratoire d’InfoRmatique en Image et Systèmes d’information ...

The sources cited in Google AI Overviews now match one or more of the webpages from the top 10 Google organic search results 99.5% of the time. This new data was shared on LinkedIn by Mark ...