News | Joshua Berkowitz

14 Articles

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Gemini API Structured Outputs: Boosting Reliability for AI Developers

Working with AI systems means juggling diverse data formats and integrating multiple tools. With Google’s latest improvements to the Gemini API’s Structured Outputs, developers gain a new level of con...

AI development API enhancements data validation developer tools Gemini API JSON Schema multi-agent systems Structured Outputs

Nov 6, 2025

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How Edmunds Built an AI-Powered Digital Mind with Databricks Lakehouse

We are now moving beyond traditional, passive data storage to create a dynamic, intelligent engine that drives real-time insight and innovation. Edmunds has achieved this by transforming their data la...

AI ecosystem automation automotive industry Databricks data governance data lakehouse knowledge management multi-agent systems

Oct 21, 2025

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Microsoft Agent Framework: Empowering the Next Generation of Agentic AI Apps

AI agents have advanced far beyond basic chatbots, they now act as autonomous entities capable of reasoning, API integration, real-time collaboration, and dynamic adaptation. As organizations demand m...

agent orchestration AI agents AutoGen enterprise AI Microsoft multi-agent systems open source Semantic Kernel

Oct 14, 2025

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How Azure Agentic AI Is Transforming Enterprise Automation

No longer limited to simply answering questions, agentic AI is now capable of reasoning, taking action, and collaborating with both humans and other systems. This evolution is driving a new era in ent...

agentic AI AI security Azure AI Foundry design patterns enterprise automation multi-agent systems workflow orchestration

Oct 3, 2025

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New A2A Extensions Empower Custom Agent Functionality

AI agents are no longer limited to static, predefined behaviors. With developers can equip agents with custom capabilities that address unique application needs. This flexible approach ensures agent-t...

AI customization extensions latency multi-agent systems protocol security traceability

Sep 20, 2025

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ROMA for Multi-Agent AI Systems

The Recursive Open Meta-Agent (ROMA) framework is providingdevelopers with an open-source structure for building powerful, high-performance multi-agent systems. ROMA is designed to address tasks that ...

agent frameworks AI architecture context flow long-horizon meta-agent multi-agent systems open-source task orchestration

Sep 16, 2025

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AGNTCY Ushers in the “Internet of Agents” by Joining the Linux Foundation

AGNTCY , an Agent framework backed by leading tech companies including Cisco, Dell and Google, has donated its entire multi-agent framework to the Linux Foundation. This move tackles a pressing c...

agentic AI AGNTCY AI governance AI interoperability enterprise AI Linux Foundation multi-agent systems open source

Sep 11, 2025

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AssetOpsBench Sets New Standards for AI in Industrial Asset Management

Industrial asset management is undergoing a transformation as artificial intelligence agents are poised to take on complex tasks, from predictive maintenance to troubleshooting intricate machinery. At...

AI agents asset management benchmarking failure analysis industrial automation LLM evaluation multi-agent systems open source

Aug 29, 2025

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Mastering Context Engineering: Boosting AI Agent Performance with Smart Data Management

Effective AI agents depend on the quality and relevance of the data—known as context —they access. As agents tackle more complex problems, ensuring they receive the right information at the right mome...

AI agents context engineering LangGraph memory management multi-agent systems summarization tool selection

Aug 5, 2025

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How Google Cloud’s AI Agents Are Revolutionizing Healthcare Operations

The healthcare industry is undergoing a major transformation as Google Cloud introduces advanced AI agent technology through partnerships with organizations like Highmark Health and Hackensack Meridia...

AI agents digital health Google Cloud Hackensack Meridian healthcare innovation Highmark Health multi-agent systems Vertex AI

Jul 29, 2025

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Scaling Research with Multi-Agent AI: Lessons from Anthropic's System

Anthropic’s experience with multi-agent research systems reveals both the transformative power and engineering challenges of orchestrating teams of Claude agents. Their approach offers valuable lesson...

AI research Claude evaluation multi-agent systems production engineering prompt engineering system architecture tool design

Jul 27, 2025

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AI Orchestration in Healthcare: Teamwork with Multi-Agent Collaboration

What if artificial intelligence (AI) collaborated alongside clinicians, reflecting the teamwork required in real-world care. Microsoft’s Healthcare Agent Orchestrator is working on this feat of ...

AI healthcare clinical decision support collaborative workflows explainable AI healthcare AI models Microsoft Teams integration multi-agent systems Semantic Kernel

Jun 24, 2025

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