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ai agent communication protocols
ai agent communication protocols

3 weeks ago 14 min read

Practical applications of AI communication protocols (MCP, ACP, A2A, ANP)
In multi-agent systems and artificial intelligence (AI) applications, individual agents face a fundamental limitation: they cannot achieve complex goals in isolation. Without standardized communication mechanisms, agents remain trapped in silos, unable to coordinate with one another or use external tools effectively. Communication protocols solve this critical bottleneck by establishing the rules and interfaces that enable agents to share information, negotiate tasks, and access external resources.
  • Artificial intelligence
AI legacy code modernization
AI legacy code modernization

1 month ago 13 min read

AI-powered legacy code modernization and migration: modernize your tech stack, improve performance, and future-proof your systems with AI-driven efficiency
Legacy code is expensive to maintain, distracts resources, hinders innovation, and exposes your business to security risks. Traditional system re-writes demand significant time, cost, and human resources, and often fail to meet expectations. So, how can you modernize systems without the complexities of traditional reengineering? AI-augmented legacy system modernization allows organizations to upgrade systems more quickly and safely, reducing costs and unlocking innovation.
  • Artificial intelligence
  • Legacy modernization
AI in medical coding and billing
AI in medical coding and billing

2 months ago 13 min read

AI-powered medical coding
Fast and accurate medical coding is essential for healthy revenue cycle management (RCM). Yet this process is prone to costly errors, prompting healthcare organizations to seek more effective, smarter methods. That’s where advanced technology like artificial intelligence (AI) comes in. When precision and speed matter, AI is the ultimate answer.
  • Artificial intelligence
  • Healthcare
agentic workflow and design patterns
agentic workflow and design patterns

2 months ago 12 min read

General agentic design patterns implemented on OCI
Artificial intelligence (AI) agents have taken the business world by storm, and for good reason. These smart assistants plan ahead, fulfill tasks with various degrees of autonomy, and make sensible decisions on their own. If deployed and managed in the cloud, agentic systems effectively execute resource-intensive jobs and scale dynamically as business demand grows. Oracle Cloud Infrastructure (OCI) is the ideal platform to implement robust agentic design patterns that support highly functional and secure solutions.
  • Artificial intelligence
  • Cloud
ai agents use cases
ai agents use cases

3 months ago 13 min read

AI agents: capabilities and use cases
As businesses increasingly adopt generative AI (GenAI), AI agents represent the next frontier, redefining how autonomous problems are solved. With the ability to reason, act, learn, and make decisions independently, AI agents offer businesses across various domains unprecedented efficiency and productivity. The question is no longer if you should embrace agentic AI, but how quickly you can integrate it to stay ahead.
  • Artificial intelligence

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