I'm not arguing that PivotTables are now useless, because they still solve certain problems very well. However, after seeing how fluid, responsive, and adaptable GROUPBY and PIVOTBY can be, I've found ...

Access the query editor: You begin in Dune’s query editor, a dedicated environment for writing and executing code. Click “New ...

Discover how profit-volume charts reveal the link between sales volume and earnings. Learn how businesses use them to set goals and achieve profitability.

Abstract: Graph Convolutional Neural Networks (graph CNNs) have been widely used for graph data representation and semi-supervised learning tasks. However, existing graph CNNs generally use a fixed ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

Oracle (ORCL) is well-positioned to benefit from AI adoption by leveraging its integrated infrastructure, database, and ...

Abstract: We propose a Multi-graph Attention spatial-temporal graph convolutional network (MGA-STGCN) for AHP risk forecasting. To describe the temporal and spatial features of the area, we use ...

Kùzu is an embedded graph database built for query speed and scalability. It implements the property graph data model and is optimized for handling complex join-heavy analytical workloads on very ...

Tabular artificial intelligence startup Prior Labs GmbH today announced a new foundation model that can handle millions of ...