Browsing Tag

OpenAI

4 posts
MCP vs REST HTTP vs Apache Kafka -The Enterprise Architect Guide and Decision Tree to Agentic AI Integration
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  • 4.0K views
  • 12 minute read

MCP vs. REST/HTTP API vs. Kafka: The Architect’s Guide to Agentic AI Integration

MCP, REST/HTTP APIs, and Apache Kafka are not alternatives. They solve different problems at different layers of the architecture. This article maps the decision: what each technology is built for, where the boundaries are, and where the real gray areas lie. Includes a comparison table and decision tree for architects.
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  • 27 minute read

Enterprise Agentic AI Landscape 2026: Trust, Flexibility, and Vendor Lock-in

The Enterprise Agentic AI Landscape 2026 maps every major AI vendor across two dimensions that matter most: how much you trust their AI, and how much lock-in you accept. An independent, vendor-neutral analysis covering Anthropic, OpenAI, Google, Microsoft, AWS, Mistral, SAP, Salesforce, and more.
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The Enterprise Architecture Trinity around Process Orchestration Intelligence, Data Integration and Streaming, and Trusted Safe Agentic AI
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  • 7 minute read

The Trinity of Modern Data Architecture: Process Intelligence, Event-Driven Integration, and Trusted Agentic AI

Agentic AI without governed processes is fast but ungoverned. Event-driven integration without process intelligence moves data but not decisions. Process intelligence without live data automates the wrong outcomes. The fix is a converged architecture. This post shows what that looks like.
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How I Trained a Chatbot K.AI of Myself Without Coding Evaluating OpenAI Custom GPT Chatbase Botsonic LiveChatAI
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  • 13 minute read

Hello, K.AI – How I Trained a Chatbot of Myself Without Coding Evaluating OpenAI Custom GPT, Chatbase, Botsonic, LiveChatAI

Generative AI (GenAI) enables many new use cases for enterprises and private citizens. While I work on real-time enterprise scale AI/ML deployments with data streaming, big data analytics and cloud-native software applications in my daily business life, I also wanted to train a conversational chatbot for myself. This blog post introduces my journey without coding to train K.AI, a personal chatbot that can be used to learn in a conversational pace format about data streaming and the most successful use cases in this area. Yes, this is also based on my expertise, domain knowledge and opinion, which is available as  public internet data, like my hundreds of blog articles, LinkedIn shares, and YouTube videos.
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