This work presents DeepEye, a workflow-centric agentic data system that turns user intents into transparent and steerable analytical workflows and develops DataMagic as the system’s Video Generator, a declarative multi-agent method that improves data-video quality.
In today's fast-paced environment, the ability to swiftly access, understand, and act on data is no longer optional; it is essential. Yet most organizations remain data-rich but insight-poor, constrained by the complexity of querying, interpreting, and explaining enterprise-scale information. We present Polaris, a supe...
K. VaruniH., Soham Sarkar, J. Kumar et al.· 0 citations
Comparisons against stronger model and coding-agent competitors further indicate that both domain-specific agent runtime structure and foundation-model strength matter for autonomous data analysis.
DataClawEval is introduced, the first comprehensive benchmark designed specifically to evaluate the end-to-end task completion capabilities of autonomous agents in real-world data engineering scenarios, and it comprises 100 rigorous, end-to-end tasks spanning five execution engines.
The AgenticData system, an agentic data system that enables natural-language query analytics over heterogeneous data sources, is introduced and its ability to handle diverse data sources accurately and efficiently is illustrated.
Pei-Yao Zhou, Ji Sun, Yao-Qiang Xu et al.· 0 citations
Modern data platforms rely on pipeline-oriented architectures that are rigid, hard to adapt, and lack native auditability. We present Agentic Data Services, a control-planedriven architecture for Big Data as a Service (BDaaS) that models workflows as adaptive, policy-aware service entities rather than static directed a...
Alexander Chernov· International Conference on...· 0 citations
It is argued that shifting from a human-centric to an agent-first paradigm is a prerequisite for unlocking the true scaling laws of decentralized machine intelligence.
Anand Ganesh· International Journal of Art...· 0 citations
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