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Abstract: With the wide deployment of public cloud computing infrastructures, using clouds to host data query services has become an appealing solution for the advantages on scalability and ...

Abstract: Huge amounts of data have been generated on edge devices every day, which requires efficient data analytics and management. However, due to the limited computing capacity of these edge ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

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

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...

Open-Source AI Tools while not widely publicized, are highly regarded within the developer community for their ability to simplify complex tasks ...

Alteryx, Inc., an AI-ready data and analytics company, is expanding its cloud-native analytics capabilities with Live Query for Snowflake-enabling organizations to execute data transformation, ...

We may have all worried about the Terminator, but AI is threatening us in other, more insidious ways ...

The new engine could let enterprises retain more telemetry data for compliance and incident response at lower cost, although ...

Big data management startup Komprise Inc. said today it’s introducing a major update to its platform with the launch of ...

The 10 coolest big data tools of 2026 so far include products from Databricks, Google Cloud, Starburst, Teradata and ...