Topic: multi-agent systems
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Multi-Agent AI: How Architecture Ensures Reliable Orchestration
The future of AI involves teams of specialized agents working together, each excelling in specific tasks, but coordinating them presents architectural challenges like autonomy and messy communication. Designing effective orchestration frameworks requires balancing hierarchical (Conductor Model) a...
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Zappi’s CMO Reveals How to Build AI Agents That Master Brand Voice & Compliance
Many marketers face challenges with AI-generated content feeling generic, but treating AI as a trained team member can align outputs with brand identity. Specialized AI agents excel by focusing on specific tasks, mirroring successful team structures and improving output quality over general-purpo...
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Highmark & Google Cloud: 6 AI Lessons for Faster Claims & Better Care
Highmark Health's collaboration with Google Cloud demonstrates how enterprises can integrate AI at scale while maintaining compliance, efficiency, and user trust, emphasizing platform engineering over treating AI as just another tool. Highmark successfully modernized legacy systems using Google C...
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Your Next Career: Managing AI Agent Teams
The future of work is shifting toward human-led teams of AI agents, with professionals acting as managers to oversee and direct these digital workforces, requiring new strategic skills. AI agents are transforming industries, starting with coding but expanding into broader business functions, with...
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Google Gifts Agent2Agent Protocol to Linux Foundation
Google has transferred its Agent2Agent (A2A) protocol to the Linux Foundation to standardize AI communication, with support from major companies like AWS and Cisco. The move ensures neutral governance and avoids vendor lock-in, with Google emphasizing the Linux Foundation’s role in fostering open...
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