Data is the fuel of AI applications, but the magnitude and scale of enterprise data often make it too expensive and time-consuming to use effectively. According to IDC’s Global DataSphere 1, ...

As enterprises see an unprecedented increase in real-time data analytics, InfluxDB on Wednesday said that it was releasing a next-generation time series engine for its managed database service ...

The move to the data lakehouse was full of promises—speed, agility, and cost-effective query performance, to name a few. Yet, many enterprises find it difficult to realize all these benefits at once; ...

Find hidden patterns, classify search intent, spot trends, and prioritize SEO opportunities without digging through thousands ...

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Databricks says new products LTAP and Lakehouse//RT unify transactional and analytical data for AI agents, delivering sub-100ms latency and no ETL pipelines.

The new engine could let enterprises retain more telemetry data for compliance and incident response at lower cost, although migration work and missing query support may slow adoption, analysts say.

New data from BrightEdge shows how finance-related queries perform on AI Overviews, identifying clear areas that continue to show AIO while Google is pulling back from others. The deciding factor is ...

Open table formats such as Apache Iceberg standardize data and metadata semantics across engines, but they do not provide SQL dialect interoperability, leaving identifier resolution to each engine. In ...

Query groups uses AI to cluster similar search queries. The new card shows total clicks per group and highlights groups trending up or down. Query groups will roll out over the coming weeks to high ...

ChatGPT’s search queries averaged 5.48 words – and more than three-quarters were five words or longer, a new Nectiv study finds. ChatGPT performs a search in nearly one-third of prompts and averages ...