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Eran Stiller

Melbourne

Editor, Architecture and Design at InfoQ

A seasoned software architect, tech lead, content creator, speaker, instructor, improviser, photographer and pastry chef.

Featured in: Favicon infoq.com

Articles

  • 2 weeks ago | infoq.com | Eran Stiller

    Uber recently described a GenAI-powered invoice processing system that reduced manual effort by 2x, cut handling time by 70%, and delivered 25–30% cost savings. By leveraging GPT-4 and a modular platform called TextSense, Uber improved data accuracy by 90%, enabling globally scalable, efficient, and highly automated financial operations.

  • 2 weeks ago | infoq.com | Thomas Betts |Sarah Wells |Eran Stiller |Daniel Bryant

    As large language models (LLMs) have become widely adopted, AI-related innovation is now focusing on finely-tuned small language models and agentic AI. Retrieval-augmented generation (RAG) is being adopted as a common technique to improve the results from LLMs. Architects are designing systems so they can more easily accommodate RAG. Architects need to consider AI-assisted development tools, making sure they increase efficiency without decreasing quality.

  • 2 weeks ago | infoq.com | Thomas Betts |Eran Stiller |Daniel Bryant |Sarah Wells

    The panel discussion in this episode is one half of the annual InfoQ Architecture and Design Trends Report. The other half is the written report. One of the regular features of InfoQ are the trends reports, which each focus on a different aspect of software development. These reports provide the InfoQ readers with a high-level overview of the topics to pay attention to this year, and also help the editorial team focus on innovative technologies across all the content on InfoQ.

  • 1 month ago | infoq.com | Eran Stiller

    原文リンク(2025-03-20) Daprは最近、大規模言語モデル(LLM)を使用してスケーラブルでレジリエントなAIエージェントを構築するためのフレームワークDapr Agentsを発表した。Dapr Agentsは、Daprのセキュリティ、オブザーバビリティ、クラウドニュートラルなアーキテクチャを活用し、構造化されたワークフロー、マルチエージェント連携、イベント駆動型の実行が可能だ。企業向けに設計されており、数千のエージェントをサポートし、データベースと統合し、堅牢なオーケストレーションとメッセージングによって信頼性を確保する。 DaprをベースにしたDapr Agentsは、LLMを使用して推論、行動、コラボレーションができるAIエージェントを開発するためのフレームワークを提供する。Dapr Agentsは信頼性、スケーラビリティ、オブザーバビリティを提供し、シングルコアで数千のエージェントをサポートし、Kubernetes上でネイティブに実行される。著者のMark Fussel氏、Yaron Schneider氏、Roberto Rodriguez氏は、Dapr...

  • 1 month ago | infoq.com | Eran Stiller

    InfoQ Homepage News Dapr Agents: Scalable AI Workflows with LLMs, Kubernetes & Multi-Agent Coordination Write & Win: InfoQ Contest Join the contest to: Win a conference ticket Boost your profile Help the community Send your article proposal Listen to this article - 0:00 Audio ready to play Your browser does not support the audio element. 0:00 0:00 Dapr recently introduced Dapr Agents, a framework for building scalable, resilient AI agents using Large Language Models (LLMs). It enables...

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Eran Stiller
Eran Stiller @eranstiller
20 Mar 25

RT @InfoQ: Dapr Agents: Scalable AI Workflows with LLMs, Kubernetes & Multi-Agent Coordination https://t.co/AAQtkrfs5t by @eranstiller

Eran Stiller
Eran Stiller @eranstiller
24 Feb 25

RT @InfoQ: How Monzo Bank Built a Cost-Effective, Unorthodox Backup System to Ensure Resilient Banking https://t.co/M9uiW3i0Rm by @eranstil…

Eran Stiller
Eran Stiller @eranstiller
29 Jan 25

RT @InfoQ: Inside Atlassian Lithium: How a Dynamic ETL Platform Is Transforming Data Movement and Cutting Costs https://t.co/rGmK4pp6tZ by…