# AI-Ready Data Published articles for AI-Ready Data. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## New in Confluent Intelligence and AI Tools: Making Agents Native to the Stream, Expanded Model Support, New Agent Skills, and Copilot DevFeed: [New in Confluent Intelligence and AI Tools: Making Agents Native to the Stream, Expanded Model Support, New Agent Skills, and Copilot]() Original publisher: [Read original article]() Author: Confluent Staff Published: 2026-08-18T14:00:10Z Content type: article Language: en Sources: [Confluent: Data in motion]() Topics: [Artificial Intelligence](), [apache-flink](), [Kafka](), [streaming-data-processing](), [real-time](), [MCP Server](), [Agent Skills](), [MCP](), [Inference](), [Google](), [ibm]() Tags: [ai](), [ai-ready-data](), [ai-tools](), [apache-flink](), [confluent](), [confluent-cloud](), [google](), [ibm](), [kafka](), [mcp](), [mcp-server](), [real-time](), [skills](), [streaming-data-processing](), [support](), [tools]() ### AI overview Confluent announces updates to Confluent Intelligence and related AI tools for building production AI systems on Apache Kafka and Apache Flink. The release adds expanded time-series model support, a generally available Real-Time Context Engine, updates to the fully managed MCP Server, Agent Skills for AI coding assistants, and Confluent Copilot. The features are intended to provide agents and applications with fresh business context and governed access to live data and infrastructure. ### Source excerpt Explore new AI features and AI tools: support for IBM Granite Time Series models and TimesFM models (EA), enhanced Real-Time Context Engine experience, new Agent Skills, Confluent Copilot ## Synthetic Data Generation for Financial AI Research with NVIDIA NeMo DevFeed: [Synthetic Data Generation for Financial AI Research with NVIDIA NeMo]() Original publisher: [Read original article]() Author: Elizabeth Goodman Published: 2026-07-09T19:40:37Z Content type: article Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [Synthetic Data Generation](), [synthetic-data](), [Large Language Model](), [Fine-tuning](), [Natural language processing](), [Nemotron](), [vllm](), [datasets]() Tags: [agentic-ai-generative-ai](), [ai](), [ai-agent](), [ai-ready-data](), [cloud-services](), [compute](), [data](), [data-science](), [featured](), [financial-services](), [fine-tuning](), [generation](), [hardware](), [inference](), [llms](), [models](), [natural-language-processing](), [nemo](), [nemotron](), [nvidia](), [research](), [structured-generation](), [synthetic](), [synthetic-data](), [synthetic-data-generation](), [vllm](), [workflow]() ### AI overview This developer article presents an iterative pipeline for generating a diverse synthetic dataset of more than 500,000 financial news headlines. It combines NeMo Data Designer for structured generation, NeMo Curator for semantic deduplication, Nemotron models for synthesis, and a farthest-from-centroid few-shot strategy to reduce repetition and correct category imbalance. ### Source excerpt Fine-tuning LLMs for financial natural language processing (NLP) is constrained by limited, imbalanced data. Real-world financial news overrepresents earnings... ## OCSF Achieves ITU Support: Powering AI-Ready Security Operations DevFeed: [OCSF Achieves ITU Support: Powering AI-Ready Security Operations]() Original publisher: [Read original article]() Author: Rod Wallace Published: 2026-03-24T16:48:50Z Content type: article Language: en Sources: [AWS Open Source Blog]() Topics: [Security](), [AI-Ready Data](), [Open Source](), [Cybersecurity](), [Artificial Intelligence](), [data](), [Detection engineering](), [Programming]() Tags: [ai](), [ai-ready-data](), [algorithms](), [black-hat](), [cybersecurity](), [data](), [logs](), [machine-learning](), [open-source](), [security]() ### AI overview OCSF is presented as a vendor-neutral, open source security-data standard supported for ratification by the ITU. By normalizing logs from data centers, cloud environments, and SaaS applications into a common language, it creates AI-ready data for correlation, pattern detection, and more effective security operations. ### Source excerpt The security industry stands at an inflection point. In November 2024, the Open Cybersecurity Schema Framework (OCSF) joined the Linux Foundation, cementing its role as a vendor-neutral, open source standard for the global security community. Last summer at Black Hat 2025, we showed you how OCSF was powering AI-driven security operations. Then in December 2025, [...] ## Introducing OpenAI for India DevFeed: [Introducing OpenAI for India]() Original publisher: [Read original article]() Published: 2026-02-18T21:00:00Z Content type: news Language: en Sources: [OpenAI News]() Topics: [OpenAI](), [Artificial Intelligence](), [datacenter](), [ChatGPT](), [AI-Ready Data](), [codex](), [Security](), [stargate](), [Latency]() Tags: [ai](), [ai-ready-data](), [chatgpt](), [codex](), [data-center](), [education](), [enterprise](), [global-affairs](), [government](), [india](), [infrastructure](), [latency](), [openai](), [partnerships](), [security](), [software-development](), [stargate]() ### AI overview OpenAI is launching OpenAI for India, a nationwide initiative with Indian partners to expand AI access, develop local AI-ready data center capacity, support enterprise adoption, and advance workforce skills. The initiative includes a partnership with Tata Group, ChatGPT Enterprise and Codex deployments, certifications, and education programs. ### Source excerpt OpenAI for India expands AI access across the country--building local infrastructure, powering enterprises, and advancing workforce skills.