Overview: Predictive analytics is about action, not just forecasts. The best platforms explain trends and guide what to do ...
Abstract: The performance of big data workflows depends on both the workflow mapping scheme, which determines task assignment and container allocation in Hadoop, and the on-node scheduling policy, ...
In stark contrast, Teradata Corporation (TDC), the long-established powerhouse in the data warehouse domain, has been ...
Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...
Agentic AI marks a new phase in enterprise technology transformation, where intelligent systems act autonomously, gather ...
The traffic decline isn't a death sentence for AI coding tools, but it is a signal, and it's worth understanding what's ...
As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.
It’s been three years since OpenAI released ChatGPT and kicked off a surge in innovation and attention on AI. Since then, ...
AirTrunk’s Robin Khuda, Atlassian’s Scott Farquhar and Airtree’s Jackie Vullinghs are among those sharing their views on AI, ...
LLM Agentic Workflow for Automated Vulnerability Detection and Remediation in Infrastructure-as-Code
Abstract: This paper presents a multi-agent, AI-driven strategy employing Large Language Models (LLMs), retrieval-augmented generation, and a continuously updated knowledge base for the detection and ...
If you are using LangChain/LangGraph or the OpenAI SDK, we provide these integration packages for seamless integration of Databricks AI features. databricks-langchain - For LangChain/LangGraph users ...
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